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itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell > Class Template Reference

This class implements a finite difference partial differential equation solver for evolving surfaces embedded in volumes as level-sets. More...

#include <itkMultiphaseSparseFiniteDifferenceImageFilter.h>

Inheritance diagram for itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >:
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Collaboration diagram for itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >:
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List of all members.

Classes

struct  SparseDataStruct

Public Types

typedef
NeighborhoodAlgorithm::ImageBoundaryFacesCalculator
< StatusImageType
BFCType
typedef Vector< float,
itkGetStaticConstMacro(ImageDimension) > 
CentroidVectorType
typedef SmartPointer< const SelfConstPointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
typedef
Superclass::FeatureImagePointer 
FeatureImagePointer
typedef
Superclass::FeatureImageType 
FeatureImageType
typedef FeatureImageType::PixelType FeaturePixelType
typedef
Superclass::FeaturePointType 
FeaturePointType
typedef
Superclass::FeatureRegionType 
FeatureRegionType
typedef Superclass::FeatureSizeType FeatureSizeType
typedef
Superclass::FeatureSpacingType 
FeatureSpacingType
typedef
FiniteDifferenceFunctionType::FloatOffsetType 
FiniteDifferenceFunctionFloatOffsetType
typedef
Superclass::FiniteDifferenceFunctionPointer 
FiniteDifferenceFunctionPointer
typedef
Superclass::FiniteDifferenceFunctionType 
FiniteDifferenceFunctionType
typedef Superclass::IdCellType IdCellType
typedef
InputPointType::CoordRepType 
InputCoordRepType
typedef
InputImageType::ConstPointer 
InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef
Superclass::InputImagePointer 
InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef Superclass::InputImageType InputImageType
typedef Superclass::InputIndexType InputIndexType
typedef
Superclass::InputIndexValueType 
InputIndexValueType
typedef Superclass::InputPixelType InputPixelType
typedef Superclass::InputPointType InputPointType
typedef Superclass::InputRegionType InputRegionType
typedef Superclass::InputSizeType InputSizeType
typedef
Superclass::InputSizeValueType 
InputSizeValueType
typedef
Superclass::InputSpacingType 
InputSpacingType
typedef
KdTreeGeneratorType::Pointer 
KdTreeGeneratorPointer
typedef
Statistics::KdTreeGenerator
< SampleType
KdTreeGeneratorType
typedef KdTreeType::Pointer KdTreePointer
typedef
KdTreeGeneratorType::KdTreeType 
KdTreeType
typedef LayerType::ConstIterator LayerConstIterator
typedef LayerType::Iterator LayerIterator
typedef
LayerListType::const_iterator 
LayerListConstIterator
typedef LayerListType::iterator LayerListIterator
typedef std::vector
< LayerPointerType
LayerListType
typedef
LayerNodeStorageType::Pointer 
LayerNodeStoragePointer
typedef ObjectStore
< LayerNodeType
LayerNodeStorageType
typedef
SparseFieldLevelSetNode
< OutputIndexType
LayerNodeType
typedef LayerType::Pointer LayerPointerType
typedef SparseFieldLayer
< LayerNodeType
LayerType
typedef
SparseFieldCityBlockNeighborList
< NeighborhoodIterator
< OutputImageType > > 
NeighborListType
typedef
NeighborListType::OffsetType 
OffsetType
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
typedef
Superclass::OutputImagePointer 
OutputImagePointer
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
typedef Superclass::OutputImageType OutputImageType
typedef Superclass::OutputIndexType OutputIndexType
typedef
Superclass::OutputIndexValueType 
OutputIndexValueType
typedef Superclass::OutputPixelType OutputPixelType
typedef
Superclass::OutputRegionType 
OutputRegionType
typedef Superclass::OutputSizeType OutputSizeType
typedef
OutputImageType::SizeValueType 
OutputSizeValueType
typedef SmartPointer< SelfPointer
typedef
FiniteDifferenceFunctionType::RadiusType 
RadiusType
typedef Statistics::ListSample
< CentroidVectorType
SampleType
typedef
MultiphaseSparseFiniteDifferenceImageFilter 
Self
typedef StatusImageType::Pointer StatusImagePointer
typedef Image< StatusType,
itkGetStaticConstMacro(ImageDimension) > 
StatusImageType
typedef signed char StatusType
typedef
MultiphaseFiniteDifferenceImageFilter
< TInputImage, TFeatureImage,
TOutputImage, TFunction,
TIdCell > 
Superclass
typedef Superclass::TimeStepType TimeStepType
typedef std::vector< TimeStepTypeTimeStepVectorType
typedef
UpdateBufferType::const_iterator 
UpdateBufferConstIterator
typedef std::vector< ValueTypeUpdateBufferType
typedef InputImageType::ValueType ValueType
typedef std::vector< IdCellTypeVectorIdCellType
typedef
ZeroCrossingFilterType::Pointer 
ZeroCrossingFilterPointer
typedef
ZeroCrossingImageFilter
< InputImageType,
InputImageType
ZeroCrossingFilterType

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual bool CanRunInPlace () const
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
virtual const unsigned int & GetElapsedIterations ()
DataObjectPointerArrayGetInputs ()
InputImagePointer GetLevelSet (const IdCellType &i)
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
MultiThreaderGetMultiThreader ()
virtual const char * GetNameOfClass () const
DataObjectPointerArraySizeType GetNumberOfInputs () const
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual DataObjectPointer MakeOutput (unsigned int idx)
virtual void Modified () const
virtual void PrepareOutputs ()
void Print (std::ostream &os, Indent indent=0) const
virtual void PropagateRequestedRegion (DataObject *output)
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
virtual void SetElapsedIterations (unsigned int _arg)
void SetFunctionCount (const IdCellType &n)
void SetFunctionCount (const IdCellType &n)
void SetKdTree (KdTreeType *kdtree)
void SetLevelSet (const IdCellType &i, const InputImageType *levelSet)
void SetLookup (VectorIdCellType lookup)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)

virtual void SetNumberOfLayers (unsigned int _arg)
virtual unsigned int GetNumberOfLayers () const

virtual void SetIsoSurfaceValue (ValueType _arg)
virtual ValueType GetIsoSurfaceValue () const

virtual void SetInterpolateSurfaceLocation (bool _arg)
virtual bool GetInterpolateSurfaceLocation () const

void InterpolateSurfaceLocationOn ()
void InterpolateSurfaceLocationOff ()

virtual const
FiniteDifferenceFunctionPointer 
GetDifferenceFunction (const IdCellType &functionIndex) const

virtual void SetDifferenceFunction (const IdCellType &functionIndex, FiniteDifferenceFunctionPointer function)

virtual void SetNumberOfIterations (unsigned int _arg)
virtual const unsigned int & GetNumberOfIterations ()

virtual void SetUseImageSpacing (bool _arg)
virtual void UseImageSpacingOn ()
virtual void UseImageSpacingOff ()
virtual const bool & GetUseImageSpacing ()

virtual void SetMaximumRMSError (double _arg)
virtual const double & GetMaximumRMSError ()

virtual void SetRMSChange (double _arg)
virtual const double & GetRMSChange ()

virtual void SetInitializedState (bool _arg)
virtual const bool & GetInitializedState ()
virtual void InitializedStateOn ()
virtual void InitializedStateOff ()

virtual void SetManualReinitialization (bool _arg)
virtual const bool & GetManualReinitialization ()
virtual void ManualReinitializationOn ()
virtual void ManualReinitializationOff ()

virtual void SetInPlace (bool _arg)
virtual bool GetInPlace () const
virtual void InPlaceOn ()
virtual void InPlaceOff ()

virtual void SetInput (const InputImageType *image)
virtual void SetInput (unsigned int, const TFeatureImage *image)
const InputImageTypeGetInput (void)
const InputImageTypeGetInput (unsigned int idx)

virtual void PushBackInput (const InputImageType *image)
virtual void PopBackInput ()
virtual void PushFrontInput (const InputImageType *image)
virtual void PopFrontInput ()

OutputImageTypeGetOutput (void)
OutputImageTypeGetOutput (unsigned int idx)

DataObjectPointerArrayGetOutputs ()
DataObjectPointerArraySizeType GetNumberOfOutputs () const

virtual void SetReleaseDataFlag (bool flag)
virtual bool GetReleaseDataFlag () const
void ReleaseDataFlagOn ()
void ReleaseDataFlagOff ()

virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
virtual void ReleaseDataBeforeUpdateFlagOff ()

virtual void SetNumberOfThreads (int _arg)
virtual const int & GetNumberOfThreads ()

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Static Public Attributes

static const unsigned int ImageDimension = Superclass::ImageDimension

static const unsigned int InputImageDimension
static const unsigned int OutputImageDimension

Protected Types

typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension)> 
InputToOutputRegionCopierType
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension)> 
OutputToInputRegionCopierType

typedef int InternalReferenceCountType

Protected Member Functions

virtual void AfterThreadedGenerateData ()
virtual void AllocateOutputs ()
void AllocateUpdateBuffer ()
void ApplyUpdate (TimeStepType dt)
virtual void ApplyUpdate (TimeStepType dt)=0
virtual void BeforeThreadedGenerateData ()
virtual void CacheInputReleaseDataFlags ()
TimeStepType CalculateChange ()
virtual ValueType CalculateUpdateValue (const OutputIndexType &, const TimeStepType &dt, const ValueType &value, const ValueType &change)
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
void ConstructActiveLayer ()
void ConstructLayer (SparseDataStruct *sparsePtr, StatusType from, StatusType to)
void CopyInputToOutput ()
virtual void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
virtual ValueType GetValueOne () const
virtual ValueType GetValueZero () const
virtual bool Halt ()
void Initialize ()
void InitializeActiveLayerValues ()
void InitializeBackgroundConstants ()
virtual void InitializeBackgroundPixels ()
void InitializeIteration ()
 MultiphaseSparseFiniteDifferenceImageFilter ()
virtual void PostProcessOutput ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (std::ostream &os, Indent indent) const
void ProcessOutsideList (LayerType *OutsideList, StatusType ChangeToStatus)
void ProcessStatusList (LayerType *InputList, LayerType *OutputList, StatusType ChangeToStatus, StatusType SearchForStatus)
void PropagateAllLayerValues ()
void PropagateFunctionLayerValues (unsigned int functionIndex)
void PropagateLayerValues (SparseDataStruct *sparsePtr, StatusType from, StatusType to, StatusType promote, int InOrOut)
virtual void PropagateResetPipeline ()
virtual void ReleaseInputs ()
TimeStepType ResolveTimeStep (const TimeStepVectorType &timeStepList, const std::vector< bool > &valid)
virtual void RestoreInputReleaseDataFlags ()
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) ITK_NO_RETURN
virtual bool ThreadedHalt (void *)
void UpdateActiveLayerValues (TimeStepType dt, LayerType *StatusUpList, LayerType *StatusDownList)
virtual void UpdatePixel (unsigned int, unsigned int, NeighborhoodIterator< InputImageType > &, ValueType &, bool &)
 ~MultiphaseSparseFiniteDifferenceImageFilter ()

const DataObjectGetInput (unsigned int idx) const

void PushBackInput (const DataObject *input)
void PushFrontInput (const DataObject *input)

const DataObjectGetOutput (unsigned int idx) const

virtual void SetNthInput (unsigned int num, DataObject *input)
virtual void AddInput (DataObject *input)
virtual void RemoveInput (DataObject *input)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredInputs ()

virtual void SetNthOutput (unsigned int num, DataObject *output)
virtual void AddOutput (DataObject *output)
virtual void RemoveOutput (DataObject *output)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredOutputs ()

virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)

Protected Attributes

ValueType m_BackgroundValue
std::vector
< FiniteDifferenceFunctionPointer
m_DifferenceFunctions
unsigned int m_ElapsedIterations
IdCellType m_FunctionCount
bool m_InterpolateSurfaceLocation
ValueType m_IsoSurfaceValue
KdTreePointer m_KdTree
std::vector< InputImagePointerm_LevelSet
VectorIdCellType m_Lookup
double m_MaximumRMSError
NeighborListType m_NeighborList
unsigned int m_NumberOfIterations
unsigned int m_NumberOfLayers
TimeStamp m_OutputInformationMTime
std::vector< ValueTypem_PixelDistance
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
double m_RMSChange
std::vector< SparseDataStruct * > m_SparseData
bool m_Updating
bool m_UseImageSpacing

Static Protected Attributes

static double m_ConstantGradientValue
static const StatusType m_StatusActiveChangingDown
static const StatusType m_StatusActiveChangingUp
static const StatusType m_StatusBoundaryPixel
static const StatusType m_StatusChanging
static const StatusType m_StatusNull
static const ValueType m_ValueOne
static const ValueType m_ValueZero

Detailed Description

template<class TInputImage, class TFeatureImage, class TOutputImage, class TFunction, typename TIdCell = unsigned int>
class itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >

This class implements a finite difference partial differential equation solver for evolving surfaces embedded in volumes as level-sets.

The "sparse field" approach to the level-set model is a logical extension of the classical narrow band technique, which seeks to minimize computational effort by restricting calculations to those pixels in a region of interest around the moving surface (the $k$-level curve). The sparse field method uses a narrow band that is exactly the width needed to calculate changes on the level curve for the next time step. Because the band of grid points under consideration is so sparse, this approach has several advantages: the algorithm does exactly the number of calculations needed to determine the next position of the $k$-level curve, and the distance transform around the level curve can be recomputed at each iteration.
The sparse field algorithm works by constructing a linked list of indices that are adjacent to the $k$-level set. These indices are called the "active set". The values at these active set indices define the position of the $k$-level curve. The active set indices are shifted to follow the distance transform embedding of the $k$-level curve as their values move in and out of a fixed numerical range about $k$. In this way, the active set is maintained as only those pixels adjacent to the evolving surface. Calculations are then done only at indices contained in the active set.
The city-block neighborhoods of the active set indices are maintained as separate lists called ``layers''. At each iteration, the values at the layers are reinitialized as the distance transform from the active set. The number of layers can be adjusted according to the footprint needed for the calculations on the level curve.
Briefly, the sparse field solver algorithm is as follows:
1. For each active layer index $x_j$: Compute the change at $u_{x_j}$, the grid point in the embedding, based on local geometry and external forces and using a stable numerical scheme.

2. For each active layer index $x_j$, add the change to the grid point value and redefine the active set indices and those of its layers based on any value changes which have moved outside of the numerical range allowed for the active set.

3. Starting with the first layers adjacent to the active set and moving outwards, reconstruct the distance transform by setting values in the layers according to their neighbors. At the very outer layers, add or remove indices which have come into or moved out of the sparse field.

HOW TO USE THIS CLASS
Typically, this class should be subclassed with additional functionality for specific applications. It is possible, however to use this solver as a filter directly by instantiating it and supplying it with an appropriate LevelSetFunction object via the SetDifferenceFunction method. See the subclasses and their associated documentation for more information on using this class. Also see the FiniteDifferenceImageFilter2 documentation for a general overview of this class of solvers.
INPUTS
This filter takes an itk::Image as input. The appropriate type of input image is entirely determined by the application. As a rule, however, the input type is immediately converted to the output type before processing. This is because the input is not assumed to be a real value type and must be converted to signed, real values for the calculations. The input values will also be shifted by the $k$ isosurface value so that the algorithm only needs to consider the zero level set.
OUTPUTS
The output of the filter is the distance transform embedding of the isosurface as the zero level set. Values INSIDE the surface will be NEGATIVE and values OUTSIDE the surface will be POSITIVE. The distance transform only holds for those indices in layers around the active layer. Elsewhere, the values are a fixed positive or negative that is one greater than the layer of greatest magnitude. In other words, if there are three layers, then inside values reach a minimum of -4.0 and outside values a maximum of 4.0.IndexType this->SetNumberOfLayers(5);
PARAMETERS
The NumberOfLayers parameter controls the number of layers inside and outside of the active set (see description above). The sparse field will contain 2*NumberOfLayers+1 lists of indices: the active set and city block neighbors inside and outside the active set. It is important to specify enough layers to cover the footprint of your calculations. Curvature calculations in three dimensions, for example, require 3 layers. In two dimensions, a minimum of 2 layers is probably required. Higher order derivatives and other geometrical measures may require more layers. If too few layers are specified, then the calculations will pull values from the background, which may consist of arbitrary or random values.
The IsoSurfaceValue indicates which value in the input represents the interface of interest. By default, this value is zero. When the solver initializes, it will subtract the IsoSurfaceValue from all values, in the input, shifting the isosurface of interest to zero in the output.
IMPORTANT!
Read the documentation for FiniteDifferenceImageFilter2 before attempting to use this filter. The solver requires that you specify a FiniteDifferenceFunction to use for calculations. This is set using the method SetDifferenceFunction in the parent class.
REFERENCES
Whitaker, Ross. A Level-Set Approach to 3D Reconstruction from Range Data. International Journal of Computer Vision. V. 29 No. 3, 203-231. 1998.
Sethian, J.A. Level Set Methods. Cambridge University Press. 1996.

This code was adapted from the paper

"An active contour model without edges" T. Chan and L. Vese. In Scale-Space Theories in Computer Vision, pages 141–151, 1999.

Author:
Mosaliganti K., Smith B., Gelas A., Gouaillard A., Megason S.

This code was taken from the Insight Journal paper:

"Cell Tracking using Coupled Active Surfaces for Nuclei and Membranes" http://www.insight-journal.org/browse/publication/642 http://hdl.handle.net/10380/3055

That is based on the papers:

"Level Set Segmentation: Active Contours without edge" http://www.insight-journal.org/browse/publication/322 http://hdl.handle.net/1926/1532

and

"Level set segmentation using coupled active surfaces" http://www.insight-journal.org/browse/publication/323 http://hdl.handle.net/1926/1533

Definition at line 181 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< StatusImageType > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::BFCType
typedef Vector< float, itkGetStaticConstMacro(ImageDimension) > itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::CentroidVectorType [inherited]

Definition at line 226 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef SmartPointer<const Self> itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ConstPointer
template<class TOutputImage>
typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer [inherited]

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType [inherited]

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::FeatureImagePointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FeatureImagePointer
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::FeatureImageType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FeatureImageType
typedef FeatureImageType::PixelType itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::FeaturePixelType [inherited]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::FeaturePointType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FeaturePointType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::FeatureRegionType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FeatureRegionType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::FeatureSizeType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FeatureSizeType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::FeatureSpacingType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FeatureSpacingType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef FiniteDifferenceFunctionType::FloatOffsetType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FiniteDifferenceFunctionFloatOffsetType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::FiniteDifferenceFunctionPointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FiniteDifferenceFunctionPointer
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::FiniteDifferenceFunctionType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::FiniteDifferenceFunctionType

The value type of the time step. This is distinct from PixelType because PixelType may often be a vector value, while the TimeStep is a scalar value.

Reimplemented from itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >.

Reimplemented in itk::ScalarChanAndVeseSparseLevelSetImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TSharedData, TIdCell >.

Definition at line 236 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::IdCellType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::IdCellType
typedef InputPointType::CoordRepType itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::InputCoordRepType [inherited]

Definition at line 187 of file itkMultiphaseFiniteDifferenceImageFilter.h.

typedef InputImageType::ConstPointer itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::InputImageConstPointer [inherited]
typedef InputImageType::PixelType itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::InputImagePixelType [inherited]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputImagePointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputImagePointer
typedef InputImageType::RegionType itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::InputImageRegionType [inherited]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputImageType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputImageType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputIndexType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputIndexType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputIndexValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputIndexValueType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputPixelType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputPixelType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputPointType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputPointType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputRegionType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputRegionType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputSizeType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputSizeType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputSizeValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputSizeValueType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::InputSpacingType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InputSpacingType
typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TFeatureImage , TOutputImage >::InputToOutputRegionCopierType [protected, inherited]

Typedef for the region copier function object that converts an input region to an output region.

Definition at line 164 of file itkImageToImageFilter.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

typedef KdTreeGeneratorType::Pointer itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::KdTreeGeneratorPointer [inherited]

Definition at line 229 of file itkMultiphaseFiniteDifferenceImageFilter.h.

typedef Statistics::KdTreeGenerator< SampleType > itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::KdTreeGeneratorType [inherited]

Definition at line 228 of file itkMultiphaseFiniteDifferenceImageFilter.h.

typedef KdTreeType::Pointer itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::KdTreePointer [inherited]

Definition at line 231 of file itkMultiphaseFiniteDifferenceImageFilter.h.

typedef KdTreeGeneratorType::KdTreeType itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::KdTreeType [inherited]

Definition at line 230 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef LayerType::ConstIterator itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerConstIterator
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef LayerType::Iterator itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerIterator
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef LayerListType::const_iterator itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerListConstIterator
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef LayerListType::iterator itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerListIterator
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef std::vector< LayerPointerType > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerListType

A type for a list of LayerPointerTypes

Definition at line 252 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef LayerNodeStorageType::Pointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerNodeStoragePointer
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef ObjectStore< LayerNodeType > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerNodeStorageType

Memory pre-allocator used to manage layer nodes in a multi-threaded environment.

Definition at line 275 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef SparseFieldLevelSetNode< OutputIndexType > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerNodeType

Node type used in sparse field layer lists.

Definition at line 243 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef LayerType::Pointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerPointerType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef SparseFieldLayer< LayerNodeType > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::LayerType

A list type used in the algorithm.

Definition at line 246 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef SparseFieldCityBlockNeighborList< NeighborhoodIterator<OutputImageType> > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::NeighborListType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef NeighborListType::OffsetType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::OffsetType
typedef Superclass::OutputImagePixelType itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::OutputImagePixelType [inherited]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::OutputImagePointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::OutputImagePointer
typedef Superclass::OutputImageRegionType itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::OutputImageRegionType [inherited]

Superclass typedefs.

Reimplemented from itk::ImageToImageFilter< TFeatureImage, TOutputImage >.

Definition at line 78 of file itkInPlaceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::OutputImageType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::OutputImageType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::OutputIndexType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::OutputIndexType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::OutputIndexValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::OutputIndexValueType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::OutputPixelType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::OutputPixelType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::OutputRegionType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::OutputRegionType
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::OutputSizeType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::OutputSizeType
typedef OutputImageType::SizeValueType itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::OutputSizeValueType [inherited]

Definition at line 209 of file itkMultiphaseFiniteDifferenceImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TFeatureImage , TOutputImage >::OutputToInputRegionCopierType [protected, inherited]

Typedef for the region copier function object that converts an output region to an input region.

Definition at line 169 of file itkImageToImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef SmartPointer<Self> itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::Pointer
typedef FiniteDifferenceFunctionType::RadiusType itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::RadiusType [inherited]

Definition at line 223 of file itkMultiphaseFiniteDifferenceImageFilter.h.

typedef Statistics::ListSample< CentroidVectorType > itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SampleType [inherited]

Definition at line 227 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef MultiphaseSparseFiniteDifferenceImageFilter itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::Self
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef StatusImageType::Pointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::StatusImagePointer
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Image< StatusType, itkGetStaticConstMacro(ImageDimension) > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::StatusImageType

The type of the image used to index status information. Necessary for the internals of the algorithm.

Definition at line 263 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef signed char itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::StatusType

Type used for storing status information

Definition at line 258 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::Superclass
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef Superclass::TimeStepType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::TimeStepType
typedef std::vector< TimeStepType > itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::TimeStepVectorType [inherited]

Definition at line 222 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef UpdateBufferType::const_iterator itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::UpdateBufferConstIterator
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef std::vector< ValueType > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::UpdateBufferType

Container type used to store updates to the active layer.

Definition at line 279 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef InputImageType::ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ValueType
typedef std::vector< IdCellType > itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::VectorIdCellType [inherited]

Definition at line 214 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef ZeroCrossingFilterType::Pointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ZeroCrossingFilterPointer
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
typedef ZeroCrossingImageFilter< InputImageType, InputImageType> itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ZeroCrossingFilterType

Constructor & Destructor Documentation

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::MultiphaseSparseFiniteDifferenceImageFilter (  )  [protected]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::~MultiphaseSparseFiniteDifferenceImageFilter (  )  [inline, protected]

Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff (  )  [virtual, inherited]
virtual void itk::ProcessObject::AbortGenerateDataOn (  )  [virtual, inherited]

Turn on and off the AbortGenerateData flag.

virtual void itk::ProcessObject::AddInput ( DataObject input  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

virtual void itk::ProcessObject::AddOutput ( DataObject output  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData ( void   )  [inline, protected, virtual, inherited]

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::StatisticsImageFilter< TInputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::DifferenceImageFilter< TInputImage, TOutputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShapeLabelMapFilter< TImage, TLabelImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, and itk::ShapeLabelMapFilter< TImage, Image< TImage::PixelType,::itk::GetImageDimension< TImage >::ImageDimension > >.

Definition at line 265 of file itkImageSource.h.

virtual void itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::AllocateOutputs (  )  [protected, virtual, inherited]

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Since InPlaceImageFilter's can use an overwritten version of the input for its output, the output buffer should not be allocated. When possible, we graft the input to the filter to the output. If an InPlaceFilter has multiple outputs, then it would need to override this method to graft one of its outputs and allocate the remaining. If a filter is threaded (i.e. it provides an implementation of ThreadedGenerateData()), this method is called automatically. If an InPlaceFilter is not threaded (i.e. it provides an implementation of GenerateData()), then this method (or equivalent) must be called in GenerateData().

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::AllocateUpdateBuffer (  )  [inline, protected, virtual]

Reserves memory in the update buffer. Called before each iteration.

Implements itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >.

Definition at line 423 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ApplyUpdate ( TimeStepType  dt  )  [protected]

Applies the update buffer values to the active layer and reconstructs the sparse field layers for the next iteration.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::ApplyUpdate ( TimeStepType  dt  )  [protected, pure virtual, inherited]

This method is defined by a subclass to apply changes to the output from an update buffer and a time step value "dt".

Parameters:
dt Time step value.
template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::BeforeThreadedGenerateData ( void   )  [inline, protected, virtual, inherited]

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented in itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::LabelVotingImageFilter< TInputImage, TOutputImage >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ImageToVectorImageFilter< TInputImage >, itk::IntensityWindowingImageFilter< TInputImage, TOutputImage >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InvertIntensityImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::ModulusImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::RescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::StatisticsImageFilter< TInputImage >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >, itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::VectorIndexSelectionCastImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorRescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::DifferenceImageFilter< TInputImage, TOutputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >, itk::GridImageSource< TOutputImage >, itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelMapToLabelImageFilter< TInputImage, TOutputImage >, itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >, itk::LabelToRGBImageFilter< TLabelImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::ShapeLabelMapFilter< TImage, TLabelImage >, itk::StatisticsLabelMapFilter< TImage, TFeatureImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::ComposeRGB< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DCovariantVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, and itk::ShapeLabelMapFilter< TImage, Image< TImage::PixelType,::itk::GetImageDimension< TImage >::ImageDimension > >.

Definition at line 253 of file itkImageSource.h.

static void itk::LightObject::BreakOnError (  )  [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual void itk::ProcessObject::CacheInputReleaseDataFlags (  )  [protected, virtual, inherited]

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
TimeStepType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::CalculateChange (  )  [protected, virtual]

Traverses the active layer list and calculates the change at these indicies to be applied in the current iteration.

Implements itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::CalculateUpdateValue ( const OutputIndexType ,
const TimeStepType dt,
const ValueType value,
const ValueType change 
) [inline, protected, virtual]

This function allows a subclass to override the way in which updates to output values are applied during each iteration. The default simply follows the standard finite difference scheme of scaling the change by the timestep and adding to the value of the previous iteration.

Definition at line 393 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

virtual void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::CallCopyInputRegionToOutputRegion ( OutputImageRegionType destRegion,
const InputImageRegionType srcRegion 
) [protected, virtual, inherited]

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.

This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.

If a filter needs a different default behavior, it can override this method.

virtual void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::CallCopyOutputRegionToInputRegion ( InputImageRegionType destRegion,
const OutputImageRegionType srcRegion 
) [protected, virtual, inherited]

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.

This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.

If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).

virtual bool itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::CanRunInPlace (  )  const [inline, virtual, inherited]

Can the filter run in place? To do so, the filter's first input and output must have the same dimension and pixel type. This method can be used in conjunction with the InPlace ivar to determine whether a particular use of the filter is really running in place. Some filters may be able to optimize their operation if the InPlace is true and CanRunInPlace is true. CanRunInPlace may also be overridded by InPlaceImageFilter subclasses to fine tune its behavior.

Definition at line 113 of file itkInPlaceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ConstructActiveLayer (  )  [protected]

Constructs the active layer and initialize the first layers inside and outside of the active layer. The active layer defines the position of the zero level set by its values, which are constrained within a range around zero.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ConstructLayer ( SparseDataStruct sparsePtr,
StatusType  from,
StatusType  to 
) [protected]

Initializes a layer of the sparse field using a previously initialized layer. Builds the list of nodes in m_Layer[to] using m_Layer[from]. Marks values in the m_StatusImage.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::CopyInputToOutput (  )  [protected, virtual]

Copies the input to the output image. Processing occurs on the output image, so the data type of the output image determines the precision of the calculations (i.e. double or float). This method overrides the parent class method to do some additional processing.

Implements itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >.

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
virtual void itk::Object::DebugOff (  )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (  )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (  )  [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject  )  [inline, virtual, inherited]

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.

Definition at line 225 of file itkProcessObject.h.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GenerateData ( void   )  [protected, virtual, inherited]

This is the default, high-level algorithm for calculating finite difference solutions. It calls virtual methods in its subclasses to implement the major steps of the algorithm.

Reimplemented from itk::ImageSource< TOutputImage >.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GenerateInputRequestedRegion ( void   )  [protected, virtual, inherited]

FiniteDifferenceImageFilter2 needs a larger input requested region than the output requested region. As such, we need to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.

The filter will ask for a padded region to perform its neighborhood calculations. If no such region is available, the boundaries will be handled as described in the FiniteDifferenceFunction defined by the subclass.
See also:
ProcessObject::GenerateInputRequestedRegion()

Reimplemented from itk::ImageToImageFilter< TFeatureImage, TOutputImage >.

virtual void itk::ProcessObject::GenerateOutputInformation (  )  [protected, virtual, inherited]

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::VoronoiDiagram2DGenerator< TCoordType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::ChangeInformationImageFilter< TInputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh >, itk::ImageToVectorImageFilter< TInputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::ParametricSpaceToImageSpaceMeshFilter< TInputMesh, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::RandomImageSource< TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VTKImageImport< TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::AutoCropLabelMapFilter< TInputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::GaborImageSource< TOutputImage >, itk::GridImageSource< TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::PadLabelMapFilter< TInputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimensions, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimensions, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, and itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >.

virtual void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject output  )  [protected, virtual, inherited]

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Segmenter< InputImageType >, and itk::watershed::SegmentTreeGenerator< ScalarType >.

virtual const bool& itk::ProcessObject::GetAbortGenerateData (  )  [virtual, inherited]

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Command* itk::Object::GetCommand ( unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

virtual const FiniteDifferenceFunctionPointer itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetDifferenceFunction ( const IdCellType functionIndex  )  const [inline, virtual, inherited]

This method returns a pointer to a FiniteDifferenceFunction object that will be used by the filter to calculate updates at image pixels.

Parameters:
functionIndex Index of difference function to return.
Returns:
A FiniteDifferenceObject pointer.

Definition at line 237 of file itkMultiphaseFiniteDifferenceImageFilter.h.

virtual const unsigned int& itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetElapsedIterations (  )  [virtual, inherited]

Get the number of elapsed iterations of the filter.

static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

virtual const bool& itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetInitializedState (  )  [virtual, inherited]

Set/Get the state of the filter.

virtual bool itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::GetInPlace (  )  const [virtual, inherited]

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

const DataObject* itk::ProcessObject::GetInput ( unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an input.

Reimplemented in itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, and itk::MeshToMeshFilter< TInput, TOutput >.

const InputImageType* itk::ImageToImageFilter< TFeatureImage , TOutputImage >::GetInput ( void   )  [inherited]

Set/Get the image input of this process object.

const InputImageType* itk::ImageToImageFilter< TFeatureImage , TOutputImage >::GetInput ( unsigned int  idx  )  [inherited]

Set/Get the image input of this process object.

Reimplemented from itk::ProcessObject.

DataObjectPointerArray& itk::ProcessObject::GetInputs (  )  [inline, inherited]

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual bool itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::GetInterpolateSurfaceLocation (  )  const [virtual]

Get/Set the value of the InterpolateSurfaceLocation flag. This flag tells the solver whether or not to interpolate for the surface location when calculating change at a voxel location. Turned on by default. Some applications may not use this value and can safely turn the flag off.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::GetIsoSurfaceValue (  )  const [virtual]

Set/Get the value of the isosurface to use in the input image.

InputImagePointer itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetLevelSet ( const IdCellType i  )  [inline, inherited]

Definition at line 331 of file itkMultiphaseFiniteDifferenceImageFilter.h.

virtual const bool& itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetManualReinitialization (  )  [virtual, inherited]

Require the filter to be manually reinitialized (by calling SetInitializedStateOff()

virtual const double& itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetMaximumRMSError (  )  [virtual, inherited]

Set/Get the maximum error allowed in the solution. This may not be defined for all solvers and its meaning may change with the application.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

MultiThreader* itk::ProcessObject::GetMultiThreader (  )  [inline, inherited]

Return the multithreader used by this class.

Definition at line 284 of file itkProcessObject.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual const char* itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::GetNameOfClass (  )  const [virtual]
DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs (  )  const [inline, inherited]

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 118 of file itkProcessObject.h.

virtual const unsigned int& itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetNumberOfIterations (  )  [virtual, inherited]

Set/Get the number of iterations that the filter will run.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual unsigned int itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::GetNumberOfLayers (  )  const [virtual]

Set/Get the number of layers to use in the sparse field. Argument is the number of layers on ONE side of the active layer, so the total layers in the sparse field is 2 * NumberOfLayers +1

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs (  )  const [inline, inherited]

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 135 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs (  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs (  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual const int& itk::ProcessObject::GetNumberOfThreads (  )  [virtual, inherited]

Get/Set the number of threads to create when executing.

Referenced by itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion().

virtual DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs (  )  const [virtual, inherited]

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

template<class TOutputImage>
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( void   )  [inherited]

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

   anotherFilter->SetInput( someFilter->GetOutput() );
   anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

   image = someFilter->GetOutput();
   image->Update();
   someFilter->Update();
   image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

template<class TOutputImage>
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( unsigned int  idx  )  [inherited]

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

   anotherFilter->SetInput( someFilter->GetOutput() );
   anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

   image = someFilter->GetOutput();
   image->Update();
   someFilter->Update();
   image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Reimplemented from itk::ProcessObject.

const DataObject* itk::ProcessObject::GetOutput ( unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an output.

DataObjectPointerArray& itk::ProcessObject::GetOutputs (  )  [inline, inherited]

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 133 of file itkProcessObject.h.

virtual const float& itk::ProcessObject::GetProgress (  )  [virtual, inherited]

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

Referenced by itk::XMLFilterWatcher::ShowProgress().

virtual int itk::LightObject::GetReferenceCount (  )  const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual bool itk::ProcessObject::GetReleaseDataFlag (  )  const [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

virtual const double& itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetRMSChange (  )  [virtual, inherited]

Set/Get the root mean squared change of the previous iteration. May not be used by all solvers.

virtual const bool& itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::GetUseImageSpacing (  )  [virtual, inherited]

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOff.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::GetValueOne (  )  const [protected, virtual]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::GetValueZero (  )  const [protected, virtual]
static void itk::Object::GlobalWarningDisplayOff (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftNthOutput ( unsigned int  idx,
DataObject output 
) [virtual, inherited]

Graft the specified data object onto this ProcessObject's idx'th output. This is similar to the GraftOutput method except it allows you to specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftOutput ( DataObject output  )  [virtual, inherited]

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

    // setup the mini-pipeline to process the input to this filter
    firstFilterInMiniPipeline->SetInput( this->GetInput() );

    // setup the mini-pipeline to calculate the correct regions
    // and write to the appropriate bulk data block
    lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );

    // execute the mini-pipeline
    lastFilterInMiniPipeline->Update();

    // graft the mini-pipeline output back onto this filter's output.
    // this is needed to get the appropriate regions passed back.
    this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

virtual bool itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::Halt (  )  [protected, virtual, inherited]

This method returns true when the current iterative solution of the equation has met the criteria to stop solving. Defined by a subclass.

bool itk::Object::HasObserver ( const EventObject event  )  const [inherited]

Return true if an observer is registered for this event.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::Initialize (  )  [protected, virtual]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InitializeActiveLayerValues (  )  [protected]

Initializes the values of the active layer set.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InitializeBackgroundConstants (  )  [protected]

Initializes the pixel constants that will be set outside the sparse layer.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InitializeBackgroundPixels (  )  [protected, virtual]

This method pre-processes pixels inside and outside the sparse field layers. The default is to set them to positive and negative values, respectively. This is not necessary as part of the calculations, but produces a more intuitive output for the user.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::InitializedStateOff (  )  [virtual, inherited]

Set/Get the state of the filter.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::InitializedStateOn (  )  [virtual, inherited]

Set/Get the state of the filter.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InitializeIteration (  )  [protected, virtual]

This method is optionally defined by a subclass and is called immediately prior to each iterative CalculateChange-ApplyUpdate cycle. It can be used to set global variables needed for the next iteration (ie. average gradient magnitude of the image in anisotropic diffusion functions), or otherwise prepare for the next iteration.

Reimplemented from itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >.

Reimplemented in itk::ScalarChanAndVeseSparseLevelSetImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TSharedData, TIdCell >.

virtual void itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::InPlaceOff (  )  [virtual, inherited]

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

virtual void itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::InPlaceOn (  )  [virtual, inherited]

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InterpolateSurfaceLocationOff (  )  [inline]

See Get/SetInterpolateSurfaceLocation

Definition at line 309 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::InterpolateSurfaceLocationOn (  )  [inline]

See Get/SetInterpolateSurfaceLocation

Definition at line 307 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

void itk::Object::InvokeEvent ( const EventObject  )  [inherited]

Call Execute on all the Commands observing this event id.

void itk::Object::InvokeEvent ( const EventObject  )  const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

template<class TOutputImage>
virtual DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( unsigned int  idx  )  [virtual, inherited]

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, and itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::ManualReinitializationOff (  )  [virtual, inherited]

Require the filter to be manually reinitialized (by calling SetInitializedStateOff()

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::ManualReinitializationOn (  )  [virtual, inherited]

Require the filter to be manually reinitialized (by calling SetInitializedStateOff()

virtual void itk::Object::Modified (  )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
static Pointer itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::New (  )  [static]
virtual void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::PopBackInput (  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::PopFrontInput (  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::PostProcessOutput (  )  [protected, virtual]

This method packages the output(s) into a consistent format. The default implementation produces a volume with the final solution values in the sparse field, and inside and outside values elsewhere as appropriate.

Reimplemented from itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >.

virtual void itk::ProcessObject::PrepareOutputs (  )  [virtual, inherited]

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const [inherited]

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >.

virtual void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ProcessOutsideList ( LayerType OutsideList,
StatusType  ChangeToStatus 
) [protected]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ProcessStatusList ( LayerType InputList,
LayerType OutputList,
StatusType  ChangeToStatus,
StatusType  SearchForStatus 
) [protected]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::PropagateAllLayerValues (  )  [protected]

Adjusts the values associated with all the index layers of the sparse field by propagating out one layer at a time from the active set. This method also takes care of deleting nodes from the layers which have been marked in the status image as having been moved to other layers.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::PropagateFunctionLayerValues ( unsigned int  functionIndex  )  [protected]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::PropagateLayerValues ( SparseDataStruct sparsePtr,
StatusType  from,
StatusType  to,
StatusType  promote,
int  InOrOut 
) [protected]

Adjusts the values in a single layer "to" using values in a neighboring layer "from". The list of indicies in "to" are traversed and assigned new values appropriately. Any indicies in "to" without neighbors in "from" are moved into the "promote" layer (or deleted if "promote" is greater than the number of layers). "InOrOut" == 1 indicates this propagation is inwards (more negative). "InOrOut" == 2 indicates this propagation is outwards (more positive).

virtual void itk::ProcessObject::PropagateRequestedRegion ( DataObject output  )  [virtual, inherited]

Send the requested region information back up the pipeline (to the filters that preceed this one).

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >, and itk::VTKImageImport< TOutputImage >.

virtual void itk::ProcessObject::PropagateResetPipeline (  )  [protected, virtual, inherited]

Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

virtual void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::PushBackInput ( const InputImageType image  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::PushBackInput ( const DataObject input  )  [inline, protected, virtual, inherited]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ProcessObject.

Definition at line 251 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::PushFrontInput ( const InputImageType image  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::PushFrontInput ( const DataObject input  )  [inline, protected, virtual, inherited]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ProcessObject.

Definition at line 253 of file itkImageToImageFilter.h.

virtual void itk::Object::Register (  )  const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

void itk::ProcessObject::ReleaseDataFlagOff (  )  [inline, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 257 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn (  )  [inline, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 256 of file itkProcessObject.h.

virtual void itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::ReleaseInputs (  )  [protected, virtual, inherited]

InPlaceImageFilter may transfer ownership of the input bulk data to the output object. Once the output object owns the bulk data (done in AllocateOutputs()), the input object must release its hold on the bulk data. ProcessObject::ReleaseInputs() only releases the input bulk data when the user has set the ReleaseDataFlag. InPlaceImageFilter::ReleaseInputs() also releases the input that it has overwritten.

See also:
ProcessObject::ReleaseInputs()

Reimplemented from itk::ProcessObject.

void itk::Object::RemoveAllObservers (  )  [inherited]

Remove all observers .

virtual void itk::ProcessObject::RemoveInput ( DataObject input  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

void itk::Object::RemoveObserver ( unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

virtual void itk::ProcessObject::RemoveOutput ( DataObject output  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual void itk::ProcessObject::ResetPipeline (  )  [virtual, inherited]

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

TimeStepType itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::ResolveTimeStep ( const TimeStepVectorType timeStepList,
const std::vector< bool > &  valid 
) [inline, protected, inherited]

Virtual method for resolving a single time step from a set of time steps returned from processing threads.

Returns:
Time step (dt) for the iteration update based on a list of time steps generated from the threaded calculated change method (one for each region processed).
Parameters:
timeStepList The set of time changes compiled from all the threaded calls to ThreadedGenerateData.
valid The set of flags indicating which of "list" elements are valid
size The size of "list" and "valid"

The default is to return the minimum value in the list.

virtual void itk::ProcessObject::RestoreInputReleaseDataFlags (  )  [protected, virtual, inherited]

Restore the cached input ReleaseDataFlags.

virtual void itk::ProcessObject::SetAbortGenerateData ( bool  _arg  )  [virtual, inherited]

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

void itk::Object::SetDebug ( bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetDifferenceFunction ( const IdCellType functionIndex,
FiniteDifferenceFunctionPointer  function 
) [inline, virtual, inherited]

This method sets the pointer to a FiniteDifferenceFunction object that will be used by the filter to calculate updates at image pixels.

Parameters:
functionIndex Index of difference function to set.
function Pointer to difference function to set.

Definition at line 255 of file itkMultiphaseFiniteDifferenceImageFilter.h.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetElapsedIterations ( unsigned int  _arg  )  [virtual, inherited]

Set the number of elapsed iterations of the filter.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::SetFunctionCount ( const IdCellType n  )  [inline]
void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetFunctionCount ( const IdCellType n  )  [inline, inherited]

Definition at line 354 of file itkMultiphaseFiniteDifferenceImageFilter.h.

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetInitializedState ( bool  _arg  )  [virtual, inherited]

Set/Get the state of the filter.

virtual void itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::SetInPlace ( bool  _arg  )  [virtual, inherited]

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

virtual void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::SetInput ( const InputImageType image  )  [virtual, inherited]

Set/Get the image input of this process object.

virtual void itk::ImageToImageFilter< TFeatureImage , TOutputImage >::SetInput ( unsigned  int,
const TFeatureImage *  image 
) [virtual, inherited]

Set/Get the image input of this process object.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::SetInterpolateSurfaceLocation ( bool  _arg  )  [virtual]

Get/Set the value of the InterpolateSurfaceLocation flag. This flag tells the solver whether or not to interpolate for the surface location when calculating change at a voxel location. Turned on by default. Some applications may not use this value and can safely turn the flag off.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::SetIsoSurfaceValue ( ValueType  _arg  )  [virtual]

Set/Get the value of the isosurface to use in the input image.

void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetKdTree ( KdTreeType kdtree  )  [inline, inherited]

Definition at line 349 of file itkMultiphaseFiniteDifferenceImageFilter.h.

void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetLevelSet ( const IdCellType i,
const InputImageType levelSet 
) [inline, inherited]

Definition at line 308 of file itkMultiphaseFiniteDifferenceImageFilter.h.

void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetLookup ( VectorIdCellType  lookup  )  [inline, inherited]

Definition at line 344 of file itkMultiphaseFiniteDifferenceImageFilter.h.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetManualReinitialization ( bool  _arg  )  [virtual, inherited]

Require the filter to be manually reinitialized (by calling SetInitializedStateOff()

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetMaximumRMSError ( double  _arg  )  [virtual, inherited]

Set/Get the maximum error allowed in the solution. This may not be defined for all solvers and its meaning may change with the application.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
virtual void itk::ProcessObject::SetNthInput ( unsigned int  num,
DataObject input 
) [protected, virtual, inherited]
virtual void itk::ProcessObject::SetNthOutput ( unsigned int  num,
DataObject output 
) [protected, virtual, inherited]
void itk::ProcessObject::SetNumberOfInputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the input array. Copies old inputs.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetNumberOfIterations ( unsigned int  _arg  )  [virtual, inherited]

Set/Get the number of iterations that the filter will run.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::SetNumberOfLayers ( unsigned int  _arg  )  [virtual]

Set/Get the number of layers to use in the sparse field. Argument is the number of layers on ONE side of the active layer, so the total layers in the sparse field is 2 * NumberOfLayers +1

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int  _arg  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int  _arg  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual void itk::ProcessObject::SetNumberOfThreads ( int  _arg  )  [virtual, inherited]
virtual void itk::ProcessObject::SetProgress ( float  _arg  )  [virtual, inherited]

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

virtual void itk::Object::SetReferenceCount ( int   )  [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool  _arg  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual void itk::ProcessObject::SetReleaseDataFlag ( bool  flag  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetRMSChange ( double  _arg  )  [virtual, inherited]

Set/Get the root mean squared change of the previous iteration. May not be used by all solvers.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::SetUseImageSpacing ( bool  _arg  )  [virtual, inherited]

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOff.

template<class TOutputImage>
virtual int itk::ImageSource< TOutputImage >::SplitRequestedRegion ( int  i,
int  num,
OutputImageRegionType splitRegion 
) [protected, virtual, inherited]

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::ThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected, virtual, inherited]

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See also:
GenerateData(), SplitRequestedRegion()

Reimplemented in itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType >, itk::BoxMeanImageFilter< TInputImage, TOutputImage >, itk::BoxSigmaImageFilter< TInputImage, TOutputImage >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< Image< TInputPixel1, NDimension >, Image< TInputPixel2, NDimension >, Image< std::complex< TOutputPixel >, NDimension >, Functor::MagnitudeAndPhaseToComplex< TInputPixel1, TInputPixel2, TOutputPixel > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Minimum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< Image< TInputPixel1, NDimension >, Image< TInputPixel2, NDimension >, Image< std::complex< TOutputPixel >, NDimension >, Functor::RealAndImaginaryToComplex< TInputPixel1, TInputPixel2, TOutputPixel > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Sub2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Maximum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TLabelImage, TOutputImage, Functor::LabelOverlayFunctor< TInputImage::PixelType, TLabelImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Mult< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::OR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskNegatedInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::WeightedAdd2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::SquaredDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType, Functor::MakeJoin< TInputImage1, TInputImage2 >::FunctorType >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Modulus2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DCovariantVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::XOR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComposeRGBA< TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::ComposeRGB< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DCovariantVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, RankHistogram< TInputImage::PixelType > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >, and itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologicalGradientHistogram< TInputImage::PixelType > >.

virtual bool itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::ThreadedHalt ( void *   )  [inline, protected, virtual, inherited]

This method is similar to Halt(), and its default implementation in this class is simply to call Halt(). However, this method takes as a parameter a void pointer to the MultiThreader::ThreadInfoStruct structure. If you override this method instead of overriding Halt, you will be able to get the current thread ID and handle the Halt method accordingly. This is useful if you are doing a lot of processing in Halt that you don't want parallelized. Notice that ThreadedHalt is only called by the multithreaded filters, so you still should implement Halt, just in case a non-threaded filter is used.

Definition at line 476 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TOutputImage>
static ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback ( void *  arg  )  [static, protected, inherited]

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

virtual void itk::Object::UnRegister (  )  const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::Update (  )  [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageFileWriter< TInputImage >, and itk::ImageSeriesWriter< TInputImage, TOutputImage >.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::UpdateActiveLayerValues ( TimeStepType  dt,
LayerType StatusUpList,
LayerType StatusDownList 
) [protected]

Updates the active layer values using m_UpdateBuffer. Also creates an "up" and "down" list for promotion/demotion of indices leaving the active set.

virtual void itk::ProcessObject::UpdateLargestPossibleRegion (  )  [virtual, inherited]

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

virtual void itk::ProcessObject::UpdateOutputData ( DataObject output  )  [virtual, inherited]

Actually generate new output

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateOutputInformation (  )  [virtual, inherited]

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::VTKImageImport< TOutputImage >, and itk::watershed::Segmenter< InputImageType >.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
virtual void itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::UpdatePixel ( unsigned int  ,
unsigned int  ,
NeighborhoodIterator< InputImageType > &  ,
ValueType ,
bool &   
) [inline, protected, virtual]
void itk::ProcessObject::UpdateProgress ( float  amount  )  [inherited]

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::UseImageSpacingOff (  )  [virtual, inherited]

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOff.

virtual void itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::UseImageSpacingOn (  )  [virtual, inherited]

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOff.


Member Data Documentation

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
const unsigned int itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::ImageDimension = Superclass::ImageDimension [static]
const unsigned int itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::InputImageDimension [static, inherited]

ImageDimension constants

Reimplemented from itk::ImageToImageFilter< TFeatureImage, TOutputImage >.

Definition at line 90 of file itkInPlaceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_BackgroundValue [protected]

The value of the pixel outside the sparse layers

Definition at line 533 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
double itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_ConstantGradientValue [static, protected]

The constant gradient to maintain between isosurfaces in the sparse-field of the level-set image. This value defaults to 1.0

Definition at line 490 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

std::vector< FiniteDifferenceFunctionPointer > itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_DifferenceFunctions [protected, inherited]

The function that will be used in calculating updates for each pixel.

Definition at line 417 of file itkMultiphaseFiniteDifferenceImageFilter.h.

unsigned int itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_ElapsedIterations [protected, inherited]

Definition at line 411 of file itkMultiphaseFiniteDifferenceImageFilter.h.

IdCellType itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_FunctionCount [protected, inherited]

Definition at line 406 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
bool itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_InterpolateSurfaceLocation [protected]

This flag tells the solver whether or not to interpolate for the actual surface location when calculating change at each active layer node. By default this is turned on. Subclasses which do not sample propagation (speed), advection, or curvature terms should turn this flag off.

Definition at line 539 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_IsoSurfaceValue [protected]

The value in the input which represents the isosurface of interest.

Definition at line 530 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

KdTreePointer itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_KdTree [protected, inherited]

Definition at line 409 of file itkMultiphaseFiniteDifferenceImageFilter.h.

std::vector< InputImagePointer > itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_LevelSet [protected, inherited]

Definition at line 407 of file itkMultiphaseFiniteDifferenceImageFilter.h.

VectorIdCellType itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_Lookup [protected, inherited]

Definition at line 408 of file itkMultiphaseFiniteDifferenceImageFilter.h.

double itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_MaximumRMSError [protected, inherited]

Definition at line 412 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
NeighborListType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_NeighborList [protected]

Connectivity information for examining neighbor pixels.

Definition at line 384 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

unsigned int itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_NumberOfIterations [protected, inherited]

Definition at line 414 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
unsigned int itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_NumberOfLayers [protected]

The number of layers to use in the sparse field. Sparse field will consist of m_NumberOfLayers layers on both sides of a single active layer. This active layer is the interface of interest, i.e. the zero level set.

Definition at line 527 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
std::vector< ValueType > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_PixelDistance [protected]

Stores the distance between pixels in the neighborhood iterator.

Definition at line 387 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

double itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_RMSChange [protected, inherited]

Definition at line 413 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
std::vector< SparseDataStruct* > itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_SparseData [protected]
template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
const StatusType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_StatusActiveChangingDown [static, protected]

Special status value which indicates a pending change to a more negative sparse field.

Definition at line 512 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
const StatusType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_StatusActiveChangingUp [static, protected]

Special status value which indicates a pending change to a more positive sparse field.

Definition at line 508 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
const StatusType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_StatusBoundaryPixel [static, protected]

Special status value which indicates a pixel is on the boundary of the image

Definition at line 516 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
const StatusType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_StatusChanging [static, protected]

Special status value which indicates pending change to another sparse field layer.

Definition at line 504 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
const StatusType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_StatusNull [static, protected]

Special status value used as a default for indicies which have no meaningful status.

Definition at line 520 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

bool itk::ProcessObject::m_Updating [protected, inherited]

These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 428 of file itkProcessObject.h.

bool itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction , TIdCell >::m_UseImageSpacing [protected, inherited]

Control whether derivatives use spacing of the input image in its calculation.

Definition at line 421 of file itkMultiphaseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
const ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_ValueOne [static, protected]

Multiplicative identity of the ValueType.

Definition at line 497 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage , class TFunction , typename TIdCell = unsigned int>
const ValueType itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >::m_ValueZero [static, protected]

Additive identity of the ValueType.

Definition at line 500 of file itkMultiphaseSparseFiniteDifferenceImageFilter.h.

const unsigned int itk::InPlaceImageFilter< TFeatureImage , TOutputImage >::OutputImageDimension [static, inherited]

ImageDimension constants

Reimplemented from itk::ImageToImageFilter< TFeatureImage, TOutputImage >.

Definition at line 92 of file itkInPlaceImageFilter.h.


The documentation for this class was generated from the following file:

Generated at Tue Jul 13 2010 00:27:21 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000