ITK  4.6.0
Insight Segmentation and Registration Toolkit
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itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference

#include <itkSegmentationLevelSetImageFilter.h>

+ Inheritance diagram for itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:
+ Collaboration diagram for itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:

Detailed Description

template<typename TInputImage, typename TFeatureImage, typename TOutputPixelType = float>
class itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >

A base class which defines the API for implementing a special class of image segmentation filters using level set methods.

OVERVIEW
This object defines the framework for a class of segmentation filters which use level set methods. These filters work by constructing a ``feature image'' onto which the evolving level set locks as it moves. In the feature image, values that are close to zero are associated with object boundaries. An original (or preprocessed) image is given to the filter as the feature image and a seed for the level set is given as the input of the filter. The seed is converted into a level set embedding which propagates according to the features calculated from the original image.
TEMPLATE PARAMETERS
There are two required and one optional template parameter for these filters.

TInputImage is the image type of the initial model you will input to the filter using SetInput() or SetInitialImage().

TFeatureImage is the image type of the image from which the filter will calculate the speed term for segmentation (see INPUTS).

TOutputPixelType is the data type used for the output image phi, the implicit level set image. This should really only ever be set as float (default) or double.

INPUTS
The input to any subclass of this filter is the seed image for the initial level set embedding. As with other subclasses of the SparseLevelSetImageFilter, the type of the input image is is not important. The (RequestedRegion) size of the seed image must, however, match the (RequestedRegion) size of the feature image.

You must identify the initial front (surface) in the input image. You do this by specifying its isovalue through the method SetIsoSurfaceValue(float f). The algorithm will then initialize its solution using the front represented by value f. Note that the front is always represented by isosurface zero in the output and not the isosurface you specified for the input. This is because, for simplicity, the filter will shift your input image so that the active front has zero values.

Depending on the particular application and filter that you are using, the feature image should be preprocessed with some type of noise reduction filtering. The feature image input can be of any type, but it will be cast to floating point before calculations are done.
OUTPUTS
The output of any subclass of this filter is a level set embedding as described in SparseFieldLevelSetImageFilter. The zero crossings of the output image give the pixels closest to the level set boundary. By ITK convention, NEGATIVE values are pixels INSIDE the segmented region and POSITIVE values are pixels OUTSIDE the segmented region.
PARAMETERS
The MaximumRMSChange parameter is used to determine when the solution has converged. A lower value will result in a tighter-fitting solution, but will require more computations. Too low a value could put the solver into an infinite loop unless a reasonable NumberOfIterations parameter is set. Values should always be greater than 0.0 and less than 1.0.
The NumberOfIterations parameter can be used to halt the solution after a specified number of iterations, overriding the MaximumRMSChange halting criteria.
The standard convention for ITK level-set segmentation filters is that POSITIVE propagation (speed) and advection terms cause the surface to EXPAND while negative terms cause the surface to CONTRACT. When the ReverseExpansionDirection parameter is set to TRUE (on), it tells the function object to reverse the standard ITK convention so that NEGATIVE terms cause EXPANSION and positive terms cause CONTRACTION.

This parameter can be safely changed as appropriate for a particular application or data set to achieve the desired behavior.

The FeatureScaling parameter controls the magnitude of the features calculated for use in the level set propagation and advection speeds. This value simply sets both parameters to equal values at once. Some filters may only use on of these two terms and this method is a generic way to set either or both without having to know which is in use.
The CurvatureScaling parameter controls the magnitude of the curvature values which are calculated on the evolving isophote. This is important in controlling the relative effect of curvature in the calculation. Default value is 1.0. Higher values relative to the other level set equation terms (propagation and advection) will give a smoother result.
The PropagationScaling parameter controls the scaling of the scalar propagation (speed) term relative to other terms in the level set equation. Setting this value will override any value already set by FeatureScaling.
The AdvectionScaling parameter controls the scaling of the vector advection field term relative to other terms in the level set equation. Setting this value will override any value already set by FeatureScaling.
Warning
This is an abstract class. It is not intended to be instantiated by itself. Instead, you should use the derived classes. This is the reason why the New() operator (itkNewMacro) is missing from the class API.
See LevelSetFunction for more information.

Definition at line 145 of file itkSegmentationLevelSetImageFilter.h.

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef TFeatureImage FeatureImageType
 
typedef Superclass::IndexType IndexType
 
typedef Superclass::InputImageType InputImageType
 
typedef Image
< TOutputPixelType,
itkGetStaticConstMacro(InputImageDimension) > 
OutputImageType
 
typedef SmartPointer< SelfPointer
 
typedef
SegmentationLevelSetFunction
< OutputImageType,
FeatureImageType
SegmentationFunctionType
 
typedef
SegmentationLevelSetImageFilter 
Self
 
typedef
SegmentationFunctionType::ImageType 
SpeedImageType
 
typedef
SparseFieldLevelSetImageFilter
< TInputImage, OutputImageType
Superclass
 
typedef Superclass::TimeStepType TimeStepType
 
typedef Superclass::ValueType ValueType
 
typedef
SegmentationFunctionType::VectorImageType 
VectorImageType
 
- Public Types inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
typedef SmartPointer< const SelfConstPointer
 
typedef OutputImageType::IndexType IndexType
 
typedef TInputImage InputImageType
 
typedef std::vector
< LayerPointerType
LayerListType
 
typedef ObjectStore
< LayerNodeType
LayerNodeStorageType
 
typedef
SparseFieldLevelSetNode
< IndexType
LayerNodeType
 
typedef LayerType::Pointer LayerPointerType
 
typedef SparseFieldLayer
< LayerNodeType
LayerType
 
typedef
Superclass::NeighborhoodScalesType 
NeighborhoodScalesType
 
typedef Image
< TOutputPixelType,
TInputImage::ImageDimension > 
OutputImageType
 
typedef SmartPointer< SelfPointer
 
typedef Superclass::RadiusType RadiusType
 
typedef
SparseFieldLevelSetImageFilter 
Self
 
typedef Image< StatusType,
itkGetStaticConstMacro(ImageDimension) > 
StatusImageType
 
typedef signed char StatusType
 
typedef
FiniteDifferenceImageFilter
< TInputImage, Image
< TOutputPixelType,
TInputImage::ImageDimension > > 
Superclass
 
typedef Superclass::TimeStepType TimeStepType
 
typedef std::vector< ValueTypeUpdateBufferType
 
typedef OutputImageType::ValueType ValueType
 
- Public Types inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
typedef SmartPointer< const SelfConstPointer
 
typedef
FiniteDifferenceFunction
< Image< TOutputPixelType,
TInputImage::ImageDimension > > 
FiniteDifferenceFunctionType
 
typedef TInputImage InputImageType
 
typedef TInputImage::PixelType InputPixelType
 
typedef NumericTraits
< InputPixelType >::ValueType 
InputPixelValueType
 
typedef
FiniteDifferenceFunctionType::NeighborhoodScalesType 
NeighborhoodScalesType
 
typedef Image
< TOutputPixelType,
TInputImage::ImageDimension > 
OutputImageType
 
typedef Image
< TOutputPixelType,
TInputImage::ImageDimension >
::PixelType 
OutputPixelType
 
typedef NumericTraits
< OutputPixelType >::ValueType 
OutputPixelValueType
 
typedef OutputPixelType PixelType
 
typedef SmartPointer< SelfPointer
 
typedef
FiniteDifferenceFunctionType::RadiusType 
RadiusType
 
typedef FiniteDifferenceImageFilter Self
 
typedef InPlaceImageFilter
< TInputImage, Image
< TOutputPixelType,
TInputImage::ImageDimension > > 
Superclass
 
typedef
FiniteDifferenceFunctionType::TimeStepType 
TimeStepType
 
- Public Types inherited from itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
typedef SmartPointer< const SelfConstPointer
 
typedef
InputImageType::ConstPointer 
InputImageConstPointer
 
typedef InputImageType::PixelType InputImagePixelType
 
typedef InputImageType::Pointer InputImagePointer
 
typedef InputImageType::RegionType InputImageRegionType
 
typedef TInputImage InputImageType
 
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
 
typedef
Superclass::OutputImagePointer 
OutputImagePointer
 
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
 
typedef Superclass::OutputImageType OutputImageType
 
typedef SmartPointer< SelfPointer
 
typedef InPlaceImageFilter Self
 
typedef ImageToImageFilter
< TInputImage, Image
< TOutputPixelType,
TInputImage::ImageDimension > > 
Superclass
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
typedef SmartPointer< const SelfConstPointer
 
typedef
InputImageType::ConstPointer 
InputImageConstPointer
 
typedef InputImageType::PixelType InputImagePixelType
 
typedef InputImageType::Pointer InputImagePointer
 
typedef InputImageType::RegionType InputImageRegionType
 
typedef TInputImage InputImageType
 
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
 
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
 
typedef SmartPointer< SelfPointer
 
typedef ImageToImageFilter Self
 
typedef ImageSource< Image
< TOutputPixelType,
TInputImage::ImageDimension > > 
Superclass
 
- Public Types inherited from itk::ImageSource< Image< TOutputPixelType, TInputImage::ImageDimension > >
typedef SmartPointer< const SelfConstPointer
 
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef
Superclass::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
 
typedef OutputImageType::PixelType OutputImagePixelType
 
typedef OutputImageType::Pointer OutputImagePointer
 
typedef OutputImageType::RegionType OutputImageRegionType
 
typedef Image
< TOutputPixelType,
TInputImage::ImageDimension > 
OutputImageType
 
typedef SmartPointer< SelfPointer
 
typedef ImageSource Self
 
typedef ProcessObject Superclass
 
- Public Types inherited from itk::ProcessObject
typedef SmartPointer< const SelfConstPointer
 
typedef
DataObject::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
 
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
 
typedef std::vector
< DataObjectIdentifierType
NameArray
 
typedef SmartPointer< SelfPointer
 
typedef ProcessObject Self
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LightObject Self
 

Public Member Functions

void GenerateAdvectionImage ()
 
void GenerateSpeedImage ()
 
virtual const VectorImageTypeGetAdvectionImage () const
 
ValueType GetAdvectionScaling () const
 
ValueType GetCurvatureScaling () const
 
virtual FeatureImageTypeGetFeatureImage ()
 
double GetMaximumCurvatureTimeStep () const
 
unsigned int GetMaximumIterations ()
 
double GetMaximumPropagationTimeStep () const
 
virtual const char * GetNameOfClass () const
 
ValueType GetPropagationScaling () const
 
virtual SegmentationFunctionTypeGetSegmentationFunction ()
 
virtual const SpeedImageTypeGetSpeedImage () const
 
bool GetUseMinimalCurvature () const
 
bool GetUseNegativeFeatures () const
 
void SetAdvectionImage (VectorImageType *v)
 
virtual void SetInitialImage (InputImageType *f)
 
void SetInput2 (const FeatureImageType *input)
 
virtual void SetSegmentationFunction (SegmentationFunctionType *s)
 
void SetSpeedImage (SpeedImageType *s)
 
void SetUseNegativeFeaturesOff ()
 
 typedef (Concept::HasNumericTraits< TOutputPixelType >) OutputHasNumericTraitsCheck
 
void UseMinimalCurvatureOff ()
 
void UseMinimalCurvatureOn ()
 
void SetMaximumIterations (unsigned int i)
 
virtual void SetFeatureImage (const FeatureImageType *f)
 
void SetUseNegativeFeaturesOn ()
 
void SetUseNegativeFeatures (bool u)
 
virtual void SetReverseExpansionDirection (bool _arg)
 
virtual bool GetReverseExpansionDirection () const
 
virtual void ReverseExpansionDirectionOn ()
 
virtual void ReverseExpansionDirectionOff ()
 
virtual void SetAutoGenerateSpeedAdvection (bool _arg)
 
virtual bool GetAutoGenerateSpeedAdvection () const
 
virtual void AutoGenerateSpeedAdvectionOn ()
 
virtual void AutoGenerateSpeedAdvectionOff ()
 
void SetFeatureScaling (ValueType v)
 
void SetPropagationScaling (ValueType v)
 
void SetAdvectionScaling (ValueType v)
 
void SetCurvatureScaling (ValueType v)
 
void SetUseMinimalCurvature (bool b)
 
void SetMaximumCurvatureTimeStep (double n)
 
void SetMaximumPropagationTimeStep (double n)
 
- Public Member Functions inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
 typedef (Concept::EqualityComparable< typename Image< TOutputPixelType, TInputImage::ImageDimension >::PixelType >) OutputEqualityComparableCheck
 
 typedef (Concept::Convertible< double, typename Image< TOutputPixelType, TInputImage::ImageDimension >::PixelType >) DoubleConvertibleToOutputCheck
 
 typedef (Concept::OStreamWritable< typename Image< TOutputPixelType, TInputImage::ImageDimension >::PixelType >) OutputOStreamWritableCheck
 
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 ()
 
- Public Member Functions inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
virtual const
FiniteDifferenceFunctionType::Pointer
GetDifferenceFunction () const
 
virtual const IdentifierTypeGetElapsedIterations () const
 
virtual bool GetIsInitialized ()
 
virtual void SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)
 
virtual void SetIsInitialized (bool _arg)
 
void SetStateToInitialized ()
 
void SetStateToUninitialized ()
 
virtual void SetNumberOfIterations (IdentifierType _arg)
 
virtual const IdentifierTypeGetNumberOfIterations () const
 
virtual void SetUseImageSpacing (bool _arg)
 
virtual void UseImageSpacingOn ()
 
virtual void UseImageSpacingOff ()
 
virtual const bool & GetUseImageSpacing () const
 
virtual void SetMaximumRMSError (double _arg)
 
virtual const double & GetMaximumRMSError () const
 
virtual void SetRMSChange (double _arg)
 
virtual const double & GetRMSChange () const
 
virtual void SetManualReinitialization (bool _arg)
 
virtual const bool & GetManualReinitialization () const
 
virtual void ManualReinitializationOn ()
 
virtual void ManualReinitializationOff ()
 
- Public Member Functions inherited from itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
virtual bool CanRunInPlace () const
 
virtual void SetInPlace (bool _arg)
 
virtual bool GetInPlace () const
 
virtual void InPlaceOn ()
 
virtual void InPlaceOff ()
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
const InputImageTypeGetInput (void) const
 
const InputImageTypeGetInput (unsigned int idx) const
 
virtual void PopBackInput ()
 
virtual void PopFrontInput ()
 
virtual void PushBackInput (const InputImageType *image)
 
virtual void PushFrontInput (const InputImageType *image)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< Image< TOutputPixelType, TInputImage::ImageDimension > >
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
OutputImageTypeGetOutput (void)
 
const OutputImageTypeGetOutput (void) const
 
virtual
ProcessObject::DataObjectPointer 
MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) ITK_OVERRIDE
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual const bool & GetAbortGenerateData () const
 
NameArray GetInputNames () const
 
MultiThreader * GetMultiThreader () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
virtual const float & GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
virtual DataObjectPointer MakeOutput (const DataObjectIdentifierType &)
 
virtual void PrepareOutputs ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
DataObjectPointerArray GetInputs ()
 
DataObjectPointerArray GetOutputs ()
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
void SetProgress (float progress)
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void SetNumberOfThreads (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfThreads () const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
virtual void Register () const ITK_OVERRIDE
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int) ITK_OVERRIDE
 
virtual void UnRegister () const ITK_OVERRIDE
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Protected Member Functions

void GenerateData ()
 
virtual void PrintSelf (std::ostream &os, Indent indent) const
 
 SegmentationLevelSetImageFilter ()
 
virtual ~SegmentationLevelSetImageFilter ()
 
virtual void InitializeIteration ()
 
- Protected Member Functions inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
void AllocateUpdateBuffer ()
 
void ApplyUpdate (const TimeStepType &dt)
 
TimeStepType CalculateChange ()
 
virtual ValueType CalculateUpdateValue (const IndexType &, const TimeStepType &dt, const ValueType &value, const ValueType &change)
 
void ConstructActiveLayer ()
 
void ConstructLayer (StatusType from, StatusType to)
 
void CopyInputToOutput ()
 
virtual ValueType GetValueOne () const
 
virtual ValueType GetValueZero () const
 
void Initialize ()
 
void InitializeActiveLayerValues ()
 
virtual void InitializeBackgroundPixels ()
 
virtual void PostProcessOutput ()
 
void ProcessOutsideList (LayerType *OutsideList, StatusType ChangeToStatus)
 
void ProcessStatusList (LayerType *InputList, LayerType *OutputList, StatusType ChangeToStatus, StatusType SearchForStatus)
 
void PropagateAllLayerValues ()
 
void PropagateLayerValues (StatusType from, StatusType to, StatusType promote, int InOrOut)
 
 SparseFieldLevelSetImageFilter ()
 
void UpdateActiveLayerValues (TimeStepType dt, LayerType *StatusUpList, LayerType *StatusDownList)
 
 ~SparseFieldLevelSetImageFilter ()
 
- Protected Member Functions inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
 FiniteDifferenceImageFilter ()
 
virtual void GenerateInputRequestedRegion ()
 
virtual bool Halt ()
 
virtual TimeStepType ResolveTimeStep (const std::vector< TimeStepType > &timeStepList, const std::vector< bool > &valid) const
 
virtual void SetElapsedIterations (IdentifierType _arg)
 
virtual bool ThreadedHalt (void *)
 
virtual ~FiniteDifferenceImageFilter ()
 
- Protected Member Functions inherited from itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
virtual void AllocateOutputs ()
 
virtual bool GetRunningInPlace () const
 
 InPlaceImageFilter ()
 
virtual void ReleaseInputs ()
 
 ~InPlaceImageFilter ()
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
 ImageToImageFilter ()
 
virtual void VerifyInputInformation ()
 
 ~ImageToImageFilter ()
 
void PushBackInput (const DataObject *input)
 
void PushFrontInput (const DataObject *input)
 
- Protected Member Functions inherited from itk::ImageSource< Image< TOutputPixelType, TInputImage::ImageDimension > >
virtual void AfterThreadedGenerateData ()
 
virtual void BeforeThreadedGenerateData ()
 
virtual const
ImageRegionSplitterBase
GetImageRegionSplitter (void) const
 
 ImageSource ()
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual ~ImageSource ()
 
- Protected Member Functions inherited from itk::ProcessObject
virtual void AddInput (DataObject *input)
 
virtual void AddOutput (DataObject *output)
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void GenerateOutputInformation ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredOutputs () const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
 itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
 
 itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
 
 itkLegacyMacro (virtual void RemoveInput(DataObject *input))
 
 itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
 ProcessObject ()
 
virtual void PropagateResetPipeline ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *input)
 
virtual void SetPrimaryOutput (DataObject *output)
 
virtual void VerifyPreconditions ()
 
 ~ProcessObject ()
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName (void) const
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs () const
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
void SetRequiredInputNames (const NameArray &)
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName (void) const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
virtual ~Object ()
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 

Protected Attributes

bool m_AutoGenerateSpeedAdvection
 
bool m_ReverseExpansionDirection
 
- Protected Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
double m_ConstantGradientValue
 
const InputImageTypem_InputImage
 
bool m_InterpolateSurfaceLocation
 
ValueType m_IsoSurfaceValue
 
LayerNodeStorageType::Pointer m_LayerNodeStore
 
LayerListType m_Layers
 
SparseFieldCityBlockNeighborList
< NeighborhoodIterator
< OutputImageType > > 
m_NeighborList
 
unsigned int m_NumberOfLayers
 
OutputImageTypem_OutputImage
 
OutputImageType::Pointer m_ShiftedImage
 
StatusImageType::Pointer m_StatusImage
 
UpdateBufferType m_UpdateBuffer
 
- Protected Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
IdentifierType m_ElapsedIterations
 
bool m_IsInitialized
 
bool m_ManualReinitialization
 
double m_MaximumRMSError
 
IdentifierType m_NumberOfIterations
 
double m_RMSChange
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime
 
bool m_Updating
 
- Protected Attributes inherited from itk::LightObject
InternalReferenceCountType m_ReferenceCount
 
SimpleFastMutexLock m_ReferenceCountLock
 

Private Member Functions

void operator= (const Self &)
 
 SegmentationLevelSetImageFilter (const Self &)
 

Private Attributes

SegmentationFunctionTypem_SegmentationFunction
 

Additional Inherited Members

- Static Public Member Functions inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
static Pointer New ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 
- Static Public Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
static const unsigned int ImageDimension
 
- Static Public Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
static const unsigned int ImageDimension
 
- Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
static const unsigned int InputImageDimension
 
static const unsigned int OutputImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
static const unsigned int InputImageDimension
 
static const unsigned int OutputImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< Image< TOutputPixelType, TInputImage::ImageDimension > >
static const unsigned int OutputImageDimension
 
- Protected Types inherited from itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) > 
InputToOutputRegionCopierType
 
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) > 
OutputToInputRegionCopierType
 
- Protected Types inherited from itk::LightObject
typedef int InternalReferenceCountType
 
- Static Protected Member Functions inherited from itk::ImageSource< Image< TOutputPixelType, TInputImage::ImageDimension > >
static const
ImageRegionSplitterBase
GetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)
 
- Static Protected Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >
static StatusType m_StatusActiveChangingDown
 
static StatusType m_StatusActiveChangingUp
 
static StatusType m_StatusBoundaryPixel
 
static StatusType m_StatusChanging
 
static StatusType m_StatusNull
 
static ValueType m_ValueOne
 
static ValueType m_ValueZero
 

Member Typedef Documentation

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef SmartPointer< const Self > itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ConstPointer

Definition at line 162 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef TFeatureImage itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType

Local image typedefs

Definition at line 171 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef Superclass::IndexType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::IndexType

Definition at line 166 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef Superclass::InputImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InputImageType

Definition at line 168 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef Image< TOutputPixelType, itkGetStaticConstMacro(InputImageDimension) > itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::OutputImageType

Output image type typedefs

Definition at line 157 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef SmartPointer< Self > itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer

Definition at line 161 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef SegmentationLevelSetFunction< OutputImageType, FeatureImageType > itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SegmentationFunctionType

The generic level set function type

Definition at line 175 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef SegmentationLevelSetImageFilter itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self

Inherited typedef from the superclass. Needs to be placed before the next macro.

Definition at line 152 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef SegmentationFunctionType::ImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SpeedImageType

Definition at line 179 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef SparseFieldLevelSetImageFilter< TInputImage, OutputImageType > itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass

Standard class typedefs

Definition at line 160 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef Superclass::TimeStepType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::TimeStepType

Definition at line 167 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef Superclass::ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType

Inherited typedef from the superclass.

Definition at line 165 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
typedef SegmentationFunctionType::VectorImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::VectorImageType

The type used for the advection field

Definition at line 178 of file itkSegmentationLevelSetImageFilter.h.

Constructor & Destructor Documentation

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~SegmentationLevelSetImageFilter ( )
inlineprotectedvirtual

Definition at line 488 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SegmentationLevelSetImageFilter ( )
protected
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SegmentationLevelSetImageFilter ( const Self )
private

Member Function Documentation

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOff ( )
virtual

Turn On/Off automatic generation of Speed and Advection terms when Update is called. If set to Off, the Speed and Advection images must be set explicitly using SetSpeedImage, SetAdvectionImage OR the methods GenerateSpeedImage() and GenerateAdvectionImage() should be called prior to updating the filter.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOn ( )
virtual

Turn On/Off automatic generation of Speed and Advection terms when Update is called. If set to Off, the Speed and Advection images must be set explicitly using SetSpeedImage, SetAdvectionImage OR the methods GenerateSpeedImage() and GenerateAdvectionImage() should be called prior to updating the filter.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateAdvectionImage ( )

Allocate and calculate the advection term image in the SegmentationFunction object This method is called automatically on filter execution unless AutoGenerateSpeedAdvection is set to Off.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateData ( )
protectedvirtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateSpeedImage ( )

Allocate and calculate the speed term image in the SegmentationFunction object. This method is called automatically on filter execution unless AutoGenerateSpeedAdvection is set to Off.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual const VectorImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionImage ( ) const
inlinevirtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionScaling ( ) const
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAutoGenerateSpeedAdvection ( ) const
virtual

Turn On/Off automatic generation of Speed and Advection terms when Update is called. If set to Off, the Speed and Advection images must be set explicitly using SetSpeedImage, SetAdvectionImage OR the methods GenerateSpeedImage() and GenerateAdvectionImage() should be called prior to updating the filter.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetCurvatureScaling ( ) const
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual FeatureImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetFeatureImage ( )
inlinevirtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumCurvatureTimeStep ( ) const
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
unsigned int itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumIterations ( )
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumPropagationTimeStep ( ) const
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual const char* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetNameOfClass ( ) const
virtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetPropagationScaling ( ) const
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetReverseExpansionDirection ( ) const
virtual

Turn On/Off the flag which determines whether Positive or Negative speed terms will cause surface expansion. If set to TRUE then negative speed terms will cause the surface to expand and positive speed terms will cause the surface to contract. If set to FALSE (default) then positive speed terms will cause the surface to expand and negative speed terms will cause the surface to contract. This method can be safely used to reverse the expansion/contraction as appropriate to a particular application or data set.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual SegmentationFunctionType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSegmentationFunction ( )
inlinevirtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual const SpeedImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSpeedImage ( ) const
inlinevirtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseMinimalCurvature ( ) const
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseNegativeFeatures ( ) const
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InitializeIteration ( )
inlineprotectedvirtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::operator= ( const Self )
private
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOff ( )
virtual

Turn On/Off the flag which determines whether Positive or Negative speed terms will cause surface expansion. If set to TRUE then negative speed terms will cause the surface to expand and positive speed terms will cause the surface to contract. If set to FALSE (default) then positive speed terms will cause the surface to expand and negative speed terms will cause the surface to contract. This method can be safely used to reverse the expansion/contraction as appropriate to a particular application or data set.

Referenced by itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOff().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOn ( )
virtual

Turn On/Off the flag which determines whether Positive or Negative speed terms will cause surface expansion. If set to TRUE then negative speed terms will cause the surface to expand and positive speed terms will cause the surface to contract. If set to FALSE (default) then positive speed terms will cause the surface to expand and negative speed terms will cause the surface to contract. This method can be safely used to reverse the expansion/contraction as appropriate to a particular application or data set.

Referenced by itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOn().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionImage ( VectorImageType v)
inline

This function is for advanced applications. Set the image sampled as the advection term of this segmentation method. In general, the advection image is generated automatically by a subclass of this filter.

Definition at line 233 of file itkSegmentationLevelSetImageFilter.h.

References itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_SegmentationFunction, and itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetAdvectionImage().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling ( ValueType  v)
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAutoGenerateSpeedAdvection ( bool  _arg)
virtual

Turn On/Off automatic generation of Speed and Advection terms when Update is called. If set to Off, the Speed and Advection images must be set explicitly using SetSpeedImage, SetAdvectionImage OR the methods GenerateSpeedImage() and GenerateAdvectionImage() should be called prior to updating the filter.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCurvatureScaling ( ValueType  v)
inline

Set/Get the scaling of the curvature. Use this parameter to increase the influence of curvature on the movement of the surface. Higher values relative to Advection and Propagation values will give smoother surfaces.

Definition at line 371 of file itkSegmentationLevelSetImageFilter.h.

References itk::LevelSetFunction< TImageType >::GetCurvatureWeight(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_SegmentationFunction, itk::Object::Modified(), and itk::LevelSetFunction< TImageType >::SetCurvatureWeight().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage ( const FeatureImageType f)
inlinevirtual
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureScaling ( ValueType  v)
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetInitialImage ( InputImageType f)
inlinevirtual

Set/Get the initial level set model. Equivalent to calling SetInput(..)

Definition at line 213 of file itkSegmentationLevelSetImageFilter.h.

References itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetInput().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetInput2 ( const FeatureImageType input)
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumCurvatureTimeStep ( double  n)
inline

Set/Get the maximum constraint for the curvature term factor in the time step calculation. Changing this value from the default is not recommended or necessary but could be used to speed up the surface evolution at the risk of creating an unstable solution.

Definition at line 436 of file itkSegmentationLevelSetImageFilter.h.

References itk::LevelSetFunction< TImageType >::GetMaximumCurvatureTimeStep(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_SegmentationFunction, itk::Object::Modified(), and itk::LevelSetFunction< TImageType >::SetMaximumCurvatureTimeStep().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumIterations ( unsigned int  i)
inline

Set/Get the maximum number of iterations allowed for the solver. This prevents infinite loops if a solution "bounces".

Definition at line 186 of file itkSegmentationLevelSetImageFilter.h.

References itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetNumberOfIterations().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumPropagationTimeStep ( double  n)
inline

Set/Get the maximum constraint for the scalar/vector term factor of the time step calculation. Changing this value from the default is not recommended or necessary but could be used to speed up the surface evolution at the risk of creating an unstable solution.

Definition at line 455 of file itkSegmentationLevelSetImageFilter.h.

References itk::LevelSetFunction< TImageType >::GetMaximumPropagationTimeStep(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_SegmentationFunction, itk::Object::Modified(), and itk::LevelSetFunction< TImageType >::SetMaximumPropagationTimeStep().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetPropagationScaling ( ValueType  v)
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetReverseExpansionDirection ( bool  _arg)
virtual

Turn On/Off the flag which determines whether Positive or Negative speed terms will cause surface expansion. If set to TRUE then negative speed terms will cause the surface to expand and positive speed terms will cause the surface to contract. If set to FALSE (default) then positive speed terms will cause the surface to expand and negative speed terms will cause the surface to contract. This method can be safely used to reverse the expansion/contraction as appropriate to a particular application or data set.

Referenced by itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeatures().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSegmentationFunction ( SegmentationFunctionType s)
inlinevirtual

Set the segmentation function. In general, this should only be called by a subclass of this object. It is made public to allow itk::Command objects access. The method is inline to avoid a problem with the gcc 2.95 compiler matching the declaration with the definition.

Definition at line 417 of file itkSegmentationLevelSetImageFilter.h.

References itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >::Initialize(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_SegmentationFunction, itk::Object::Modified(), and itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetDifferenceFunction().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSpeedImage ( SpeedImageType s)
inline

This function is for advanced applications. Set the image sampled as the speed term of this segmentation method. In general, the speed image is generated automatically by a subclass of this filter.

Definition at line 227 of file itkSegmentationLevelSetImageFilter.h.

References itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_SegmentationFunction, and itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetSpeedImage().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseMinimalCurvature ( bool  b)
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeatures ( bool  u)
inline

THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED. Set/Get the value of the UseNegativeFeatures flag. This method is deprecated. Use Set/Get ReverseExpansionDirection instead.

Definition at line 266 of file itkSegmentationLevelSetImageFilter.h.

References itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetReverseExpansionDirection().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOff ( )
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOn ( )
inline

THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED. This method reverses the speed function direction, effectively changing inside feature values to outside feature values and vice versa.

Definition at line 249 of file itkSegmentationLevelSetImageFilter.h.

References itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOn().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::typedef ( Concept::HasNumericTraits< TOutputPixelType >  )

This class requires OutputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< TOutputPixelType > )

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOff ( )
inline
template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOn ( )
inline

Member Data Documentation

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_AutoGenerateSpeedAdvection
protected

Flag to indicate whether Speed and Advection images are automatically generated when running the filter. Otherwise, a pointer to images must be explicitly set or GenerateSpeedImage() and/or GenerateAdvectionImage() called directly before updating the filter

Definition at line 515 of file itkSegmentationLevelSetImageFilter.h.

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_ReverseExpansionDirection
protected

Flag which sets the inward/outward direction of propagation speed. See SetReverseExpansionDirection for more information.

Definition at line 509 of file itkSegmentationLevelSetImageFilter.h.

Referenced by itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseNegativeFeatures().

template<typename TInputImage , typename TFeatureImage , typename TOutputPixelType = float>
SegmentationFunctionType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_SegmentationFunction
private

Definition at line 521 of file itkSegmentationLevelSetImageFilter.h.

Referenced by itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionScaling(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetCurvatureScaling(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumCurvatureTimeStep(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumPropagationTimeStep(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetPropagationScaling(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSegmentationFunction(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSpeedImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseMinimalCurvature(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCurvatureScaling(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureScaling(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumCurvatureTimeStep(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumPropagationTimeStep(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetPropagationScaling(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSegmentationFunction(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSpeedImage(), and itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseMinimalCurvature().


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