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itk::CannySegmentationLevelSetImageFilter

itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference

#include <itkCannySegmentationLevelSetImageFilter.h>

Inheritance diagram for itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:

[legend]Collaboration diagram for itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:

[legend]List of all members.

Detailed Description

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

Segments structures in images based on image features derived from pseudo-canny-edges.

IMPORTANT: The SegmentationLevelSetImageFilter class and the CannySegmentationLevelSetFunction class contain additional information necessary to the full understanding of how to use this filter.

OVERVIEW: This class is a level set method segmentation filter. It constructs a speed function which is designed to lock onto edges as detected by a Canny filter.

: The CannySegmentationLevelSetImageFilter can be a tool for refining an existing segmentation, or it can be used to try to segment a region by itself. Like all other level-set based segmentation filters (see SegmentationLevelSetImageFilter), it works by first constructing a scalar speed term and a vector advection field based on edge features in the image. The level set front is then moved according to these two terms with the addition of a third curvature term to contol the smoothness of the solution.

: The speed term is constructed as the Danielsson distance transform of the Canny edge image, as calculated by the CannyEdgeDetectionImageFilter. This scalar speed can be tuned in and out of the final evolution equation by setting the PropagationScaling parameter (a value of 0 removes the speed term).

: The advection field term is constructed by minimizing Danielsson distance squared. i.e. $\mbox{min} \int D^2 \Rightarrow D \nabla D$ . This term moves the level set down the gradient of the distance transform.

: In practice, you may set the speed (propagation) term to zero if your initialization is already close to the edge you are interested in. If you are trying to segment a region by seeding with a small surface (blob, sphere) then you will likely want to add speed (propagation) to the equation so that the levelsets can expand along zero gradients. The relative influence of these two terms are controlled by the SetPropagationScaling and SetAdvectionScaling parameters.

INPUTS: This filter requires two inputs. The first input is a seed image. This seed image must contain an isosurface that you want to use as the seed for your segmentation. It can be a binary, graylevel, or floating point image. The only requirement is that it contain a closed isosurface that you will identify as the seed by setting the IsosurfaceValue parameter of the filter. For a binary image you will want to set your isosurface value halfway between your on and off values (i.e. for 0's and 1's, use an isosurface value of 0.5).

: The second input is the feature image. This is the image from which the speed function will be calculated. For most applications, this is the image that you want to segment. The desired isosurface in your seed image should lie within the region of your feature image that you are trying to segment.

: See SegmentationLevelSetImageFilter for more information on Inputs.

OUTPUTS: The filter outputs a single, scalar, real-valued image. Positive *values in the output image are inside the segmentated region and negative *values in the image are outside of the inside region. The zero crossings of *the image correspond to the position of the level set front.

: See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.

PARAMETERS: There are five parameters important for controlling the behavior of this filter.

: (1) Threshold. Sets the thresholding value of the Canny edge detection. See CannyEdgeDetectionImageFilter for more information.

: (2) Variance. Controls the smoothing paramter of the gaussian filtering done during Canny edge detection.

: (3) CurvatureScaling. Controls the degree to which curvature influences the evolution of the level set. Higher values relative to Propagation and Advection scalings will yield a smoother surface.

: (4) PropagationScaling. Scales the propagation (speed) term of the level set equation. Set this term to zero to allow the level set to flow _only_ down the gradient of the distance transform.

: (5) AdvectionScaling. Scales influence of the advection field relative to curvature and propagation terms.

See also:

SegmentationLevelSetImageFilter

CannySegmentationLevelSetFunction,

SparseFieldLevelSetImageFilter

Member Typedef Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>

typedef ::itk::CannySegmentationLevelSetFunction<OutputImageType, FeatureImageType> itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CannyFunctionType

Type of the segmentation function

Definition at line 149 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>

typedef SmartPointer<const Self> itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ConstPointer

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 138 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TOutputImage>

typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer [inherited]

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::StatisticsImageFilter< TInputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 62 of file itkImageSource.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray [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 TOutputPixelType = float>

typedef Superclass::FeatureImageType itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType

Local image typedefs

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 143 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef FiniteDifferenceFunction<TOutputImage> itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::FiniteDifferenceFunctionType [inherited]

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 in itk::BinaryMinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::DemonsRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::MinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >, itk::DiffeomorphicDemonsRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::FastSymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::DenseFiniteDifferenceImageFilter< TDeformationField, TDeformationField >, and itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >.

Definition at line 155 of file itkFiniteDifferenceImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>

typedef Superclass::IndexType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::IndexType [inherited]

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >.

Definition at line 166 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage = TInputImage>

typedef InputImageType::ConstPointer itk::InPlaceImageFilter< TInputImage, TOutputImage >::InputImageConstPointer [inherited]

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

Definition at line 84 of file itkInPlaceImageFilter.h.

template<class TInputImage, class TOutputImage = TInputImage>

typedef InputImageType::PixelType itk::InPlaceImageFilter< TInputImage, TOutputImage >::InputImagePixelType [inherited]

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


Public Types
typedef ::itk::CannySegmentationLevelSetFunction< OutputImageType, FeatureImageType >	CannyFunctionType
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector< DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef Superclass::FeatureImageType	FeatureImageType
enum	FilterStateType { UNINITIALIZED = 0, INITIALIZED = 1 }
typedef FiniteDifferenceFunction< TOutputImage >	FiniteDifferenceFunctionType
typedef Superclass::IndexType	IndexType
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef Superclass::InputImageType	InputImageType
typedef TInputImage::PixelType	InputPixelType
typedef NumericTraits< InputPixelType >::ValueType	InputPixelValueType
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 Superclass::OutputImagePixelType	OutputImagePixelType
typedef Superclass::OutputImagePointer	OutputImagePointer
typedef Superclass::OutputImageRegionType	OutputImageRegionType
typedef Superclass::OutputImageType	OutputImageType
typedef TOutputImage::PixelType	OutputPixelType
typedef NumericTraits< OutputPixelType >::ValueType	OutputPixelValueType
typedef OutputPixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RadiusType	RadiusType
typedef CannyFunctionType::ScalarValueType	ScalarValueType
typedef SegmentationLevelSetFunction< OutputImageType, FeatureImageType >	SegmentationFunctionType
typedef CannySegmentationLevelSetImageFilter	Self
typedef Superclass::SpeedImageType	SpeedImageType
typedef Image< StatusType, itkGetStaticConstMacro(ImageDimension)>	StatusImageType
typedef signed char	StatusType
typedef SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >	Superclass
typedef Superclass::TimeStepType	TimeStepType
typedef std::vector< ValueType >	UpdateBufferType
typedef Superclass::ValueType	ValueType
typedef Superclass::VectorImageType	VectorImageType
Public Member Functions
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
void	GenerateAdvectionImage ()
void	GenerateSpeedImage ()
virtual const bool &	GetAbortGenerateData ()
virtual const VectorImageType *	GetAdvectionImage () const
OutputImageType *	GetCannyImage (void)
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
virtual const FiniteDifferenceFunctionType::Pointer &	GetDifferenceFunction () const
virtual const unsigned int &	GetElapsedIterations ()
DataObjectPointerArray &	GetInputs ()
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual unsigned long	GetMTime () const
MultiThreader *	GetMultiThreader ()
virtual const char *	GetNameOfClass () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
virtual const float &	GetProgress ()
virtual int	GetReferenceCount () const
virtual SegmentationFunctionType *	GetSegmentationFunction ()
virtual const SpeedImageType *	GetSpeedImage () const
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
	itkStaticConstMacro (ImageDimension, unsigned int, OutputImageType::ImageDimension)
	itkStaticConstMacro (ImageDimension, unsigned int, TOutputImage::ImageDimension)
	itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
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	SetAdvectionImage (VectorImageType *v)
void	SetDebug (bool debugFlag) const
virtual void	SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)
virtual void	SetInitialImage (InputImageType *f)
void	SetInput2 (const FeatureImageType *input)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
virtual void	SetSegmentationFunction (SegmentationFunctionType *s)
void	SetSpeedImage (SpeedImageType *s)
void	SetStateToInitialized ()
void	SetStateToUninitialized ()
virtual void	UnRegister () const
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)

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

virtual void	AutoGenerateSpeedAdvectionOff ()
virtual void	AutoGenerateSpeedAdvectionOn ()
virtual bool	GetAutoGenerateSpeedAdvection ()
virtual void	SetAutoGenerateSpeedAdvection (bool _arg)

bool	CanRunInPlace () const

ValueType	GetAdvectionScaling () const
void	SetAdvectionScaling (ValueType v)

ValueType	GetCurvatureScaling () const
void	SetCurvatureScaling (ValueType v)

virtual FeatureImageType *	GetFeatureImage ()
virtual void	SetFeatureImage (const FeatureImageType *f)

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

const InputImageType *	GetInput (unsigned int idx)
const InputImageType *	GetInput (void)
virtual void	SetInput (unsigned int, const TInputImage *image)
virtual void	SetInput (const InputImageType *image)

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

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

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

double	GetMaximumCurvatureTimeStep () const
void	SetMaximumCurvatureTimeStep (double n)

unsigned int	GetMaximumIterations ()
void	SetMaximumIterations (unsigned int i)

double	GetMaximumPropagationTimeStep () const
void	SetMaximumPropagationTimeStep (double n)

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

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

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

DataObjectPointerArraySizeType	GetNumberOfOutputs () const
DataObjectPointerArray &	GetOutputs ()

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

OutputImageType *	GetOutput (unsigned int idx)
OutputImageType *	GetOutput (void)

ValueType	GetPropagationScaling () const
void	SetPropagationScaling (ValueType v)

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

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

virtual bool	GetReverseExpansionDirection ()
virtual void	ReverseExpansionDirectionOff ()
virtual void	ReverseExpansionDirectionOn ()
virtual void	SetReverseExpansionDirection (bool _arg)

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

virtual const FilterStateType &	GetState ()
virtual void	SetState (FilterStateType _arg)

ScalarValueType	GetThreshold () const
void	SetThreshold (ScalarValueType v)

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

bool	GetUseMinimalCurvature () const
void	SetUseMinimalCurvature (bool b)
void	UseMinimalCurvatureOff ()
void	UseMinimalCurvatureOn ()

bool	GetUseNegativeFeatures () const
void	SetUseNegativeFeatures (bool u)

double	GetVariance () const
void	SetVariance (double v)

void	InterpolateSurfaceLocationOff ()
void	InterpolateSurfaceLocationOn ()

	itkStaticConstMacro (OutputImageDimension, unsigned int, TOutputImage::ImageDimension)

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

void	SetFeatureScaling (ValueType v)

void	SetUseNegativeFeaturesOff ()
void	SetUseNegativeFeaturesOn ()
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()

static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static void	SetGlobalWarningDisplay (bool flag)
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 ()
virtual void	ApplyUpdate (TimeStepType dt)=0
void	ApplyUpdate (TimeStepType dt)
virtual void	BeforeThreadedGenerateData ()
virtual void	CacheInputReleaseDataFlags ()
TimeStepType	CalculateChange ()
virtual ValueType	CalculateUpdateValue (const IndexType &, 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)
	CannySegmentationLevelSetImageFilter ()
void	ConstructActiveLayer ()
void	ConstructLayer (StatusType from, StatusType to)
void	CopyInputToOutput ()
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 ()
virtual void	InitializeBackgroundPixels ()
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	PropagateLayerValues (StatusType from, StatusType to, StatusType promote, int InOrOut)
virtual void	PropagateResetPipeline ()
virtual void	ReleaseInputs ()
virtual TimeStepType	ResolveTimeStep (const TimeStepType timeStepList, const bool valid, int size)
virtual void	RestoreInputReleaseDataFlags ()
virtual void	SetElapsedIterations (unsigned int _arg)
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)
	~CannySegmentationLevelSetImageFilter ()

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

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

const DataObject *	GetInput (unsigned int idx) const

const DataObject *	GetOutput (unsigned int idx) const

virtual void	InitializeIteration ()

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

void	PushBackInput (const DataObject *input)
void	PushFrontInput (const DataObject *input)
Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)
Protected Attributes
bool	m_AutoGenerateSpeedAdvection
double	m_ConstantGradientValue
unsigned int	m_ElapsedIterations
bool	m_InterpolateSurfaceLocation
ValueType	m_IsoSurfaceValue
LayerNodeStorageType::Pointer	m_LayerNodeStore
LayerListType	m_Layers
bool	m_ManualReinitialization
double	m_MaximumRMSError
SparseFieldCityBlockNeighborList< NeighborhoodIterator< OutputImageType > >	m_NeighborList
unsigned int	m_NumberOfIterations
unsigned int	m_NumberOfLayers
TimeStamp	m_OutputInformationMTime
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
bool	m_ReverseExpansionDirection
double	m_RMSChange
OutputImageType::Pointer	m_ShiftedImage
StatusImageType::Pointer	m_StatusImage
UpdateBufferType	m_UpdateBuffer
bool	m_Updating
Static Protected Attributes
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

itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference

Detailed Description

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

Public Types

Public Member Functions

Static Public Member Functions

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Static Protected Attributes

Member Typedef Documentation

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