#include <itkSparseFieldLevelSetImageFilter.h>

Inheritance diagram for itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
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 TOutputImage	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RadiusType	RadiusType
typedef SparseFieldLevelSetImageFilter	Self
typedef Image< StatusType, itkGetStaticConstMacro(ImageDimension) >	StatusImageType
typedef signed char	StatusType
typedef FiniteDifferenceImageFilter < TInputImage, TOutputImage >	Superclass
typedef Superclass::TimeStepType	TimeStepType
typedef std::vector< ValueType >	UpdateBufferType
typedef OutputImageType::ValueType	ValueType
Public Types inherited from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >
typedef FiniteDifferenceFunction < TOutputImage >	FiniteDifferenceFunctionType
typedef TInputImage::PixelType	InputPixelType
typedef NumericTraits < InputPixelType >::ValueType	InputPixelValueType
typedef TOutputImage::PixelType	OutputPixelType
typedef NumericTraits < OutputPixelType >::ValueType	OutputPixelValueType
typedef OutputPixelType	PixelType
Public Types inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef Superclass::OutputImagePointer	OutputImagePointer
typedef Superclass::OutputImageRegionType	OutputImageRegionType
Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
Public Types inherited from itk::ImageSource< TOutputImage >
typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
Public Types inherited from itk::ProcessObject
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef std::vector < DataObjectIdentifierType >	NameArray
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
	typedef (Concept::EqualityComparable< typename TOutputImage::PixelType >) OutputEqualityComparableCheck
	typedef (Concept::Convertible< double, typename TOutputImage::PixelType >) DoubleConvertibleToOutputCheck
	typedef (Concept::OStreamWritable< typename TOutputImage::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, TOutputImage >
virtual const FiniteDifferenceFunctionType::Pointer &	GetDifferenceFunction () const
virtual const IdentifierType &	GetElapsedIterations ()
virtual bool	GetIsInitialized ()
virtual void	SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)
virtual void	SetIsInitialized (bool _arg)
void	SetStateToInitialized ()
void	SetStateToUninitialized ()
virtual void	SetNumberOfIterations (IdentifierType _arg)
virtual const IdentifierType &	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	SetManualReinitialization (bool _arg)
virtual const bool &	GetManualReinitialization ()
virtual void	ManualReinitializationOn ()
virtual void	ManualReinitializationOff ()
Public Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
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, TOutputImage >
const InputImageType *	GetInput (void) const
const InputImageType *	GetInput (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)
Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput (void)
const OutputImageType *	GetOutput (void) const
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData ()
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 ()
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	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () 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 (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
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
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () 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

Static Public Member Functions
static Pointer	New ()

Static Public Attributes
static const unsigned int	ImageDimension = TOutputImage::ImageDimension
Static Public Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >
Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
Static Public Attributes inherited from itk::ImageSource< TOutputImage >

Protected Member Functions
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)
void	UpdateActiveLayerValues (TimeStepType dt, LayerType StatusUpList, LayerType StatusDownList)

	SparseFieldLevelSetImageFilter ()
	~SparseFieldLevelSetImageFilter ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
Protected Member Functions inherited from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >
	FiniteDifferenceImageFilter ()
virtual void	GenerateData ()
virtual void	GenerateInputRequestedRegion ()
virtual bool	Halt ()
virtual void	InitializeIteration ()
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, TOutputImage >
virtual void	AllocateOutputs ()
virtual bool	GetRunningInPlace () const
	InPlaceImageFilter ()
virtual void	ReleaseInputs ()
	~InPlaceImageFilter ()
Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
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< TOutputImage >
virtual void	AfterThreadedGenerateData ()
virtual void	BeforeThreadedGenerateData ()
	ImageSource ()
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, 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)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()
bool	IsIndexedName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType	MakeNameFromIndex (DataObjectPointerArraySizeType) 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)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
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	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () 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
double	m_ConstantGradientValue
ValueType	m_IsoSurfaceValue
LayerNodeStorageType::Pointer	m_LayerNodeStore
LayerListType	m_Layers
SparseFieldCityBlockNeighborList < NeighborhoodIterator < OutputImageType > >	m_NeighborList
unsigned int	m_NumberOfLayers
OutputImageType::Pointer	m_ShiftedImage
StatusImageType::Pointer	m_StatusImage
UpdateBufferType	m_UpdateBuffer
Protected Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >
IdentifierType	m_ElapsedIterations
bool	m_IsInitialized
bool	m_ManualReinitialization
double	m_MaximumRMSError
IdentifierType	m_NumberOfIterations
double	m_RMSChange

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

Private Attributes
bool	m_BoundsCheckingActive
bool	m_InterpolateSurfaceLocation
	SparseFieldLevelSetImageFilter (const Self &)
void	operator= (const Self &)

Additional Inherited Members

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >

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 -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 -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 -level set. These indices are called the ``active set''. The values at these active set indices define the position of the -level curve. The active set indices are shifted to follow the distance transform embedding of the -level curve as their values move in and out of a fixed numerical range about . 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:

For each active layer index : 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.
For each active layer index , 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.
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 FiniteDifferenceImageFilter 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 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.

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 require a minimum of 2 layers. 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 FiniteDifferenceImageFilter 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.

Definition at line 230 of file itkSparseFieldLevelSetImageFilter.h.

Member Typedef Documentation

template<class TInputImage, class TOutputImage>

typedef SmartPointer< const Self > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ConstPointer

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

Definition at line 239 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef OutputImageType::IndexType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IndexType

Reimplemented in itk::SparseFieldFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >.

Definition at line 255 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef TInputImage itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::InputImageType

Information derived from the image types.

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

Reimplemented in itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >.

Definition at line 250 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef std::vector< LayerPointerType > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerListType

A type for a list of LayerPointerTypes

Definition at line 271 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef ObjectStore< LayerNodeType > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerNodeStorageType

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

Definition at line 283 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef SparseFieldLevelSetNode< IndexType > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerNodeType

Node type used in sparse field layer lists.

Definition at line 264 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef LayerType::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerPointerType

Definition at line 268 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef SparseFieldLayer< LayerNodeType > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::LayerType

A list type used in the algorithm.

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

Definition at line 267 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef Superclass::NeighborhoodScalesType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::NeighborhoodScalesType

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

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

Definition at line 244 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef TOutputImage itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::OutputImageType

Superclass typedefs.

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

Definition at line 254 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef SmartPointer< Self > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Pointer

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

Definition at line 238 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef Superclass::RadiusType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::RadiusType

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

Reimplemented in itk::SparseFieldFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::AnisotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::IsotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, and itk::UnsharpMaskLevelSetImageFilter< TInputImage, TOutputImage >.

Definition at line 243 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef SparseFieldLevelSetImageFilter itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs

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

Definition at line 236 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef Image< StatusType, itkGetStaticConstMacro(ImageDimension) > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::StatusImageType

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

Definition at line 279 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef signed char itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::StatusType

Type used for storing status information

Definition at line 274 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef FiniteDifferenceImageFilter< TInputImage, TOutputImage > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Superclass

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

Definition at line 237 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef Superclass::TimeStepType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::TimeStepType

Typedefs from the superclass

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

Reimplemented in itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >.

Definition at line 242 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef std::vector< ValueType > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::UpdateBufferType

Container type used to store updates to the active layer.

Definition at line 286 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef OutputImageType::ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ValueType

The data type used in numerical computations. Derived from the output image type.

Definition at line 261 of file itkSparseFieldLevelSetImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage>

itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::SparseFieldLevelSetImageFilter ( )

protected

End concept checking

template<class TInputImage, class TOutputImage>

itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::~SparseFieldLevelSetImageFilter ( )

protected

End concept checking

template<class TInputImage, class TOutputImage>

itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::SparseFieldLevelSetImageFilter ( const Self & )

private

The RMS change calculated from each update. Can be used by a subclass to determine halting criteria. Valid only for the previous iteration, not during the current iteration. Calculated in ApplyUpdate. 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.

Member Function Documentation

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::AllocateUpdateBuffer ( )

protectedvirtual

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

Implements itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ApplyUpdate ( const TimeStepType & dt )

protectedvirtual

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

Implements itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>

TimeStepType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CalculateChange ( )

protectedvirtual

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

Implements itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>

virtual ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CalculateUpdateValue	(	const IndexType &	,
		const TimeStepType &	dt,
		const ValueType &	value,
		const ValueType &	change
	)

inlineprotectedvirtual

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.

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

Definition at line 342 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::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 TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ConstructLayer	(	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 TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CopyInputToOutput ( )

protectedvirtual

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::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>

virtual::itk::LightObject::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::CreateAnother ( void ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TInputImage, class TOutputImage>

virtual bool itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetInterpolateSurfaceLocation ( ) const

virtual

Get the RMS change calculated in the PREVIOUS iteration. This value is the square root of the average square of the change value of all pixels updated during the previous iteration. 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 TOutputImage>

virtual ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetIsoSurfaceValue ( ) const

virtual

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

template<class TInputImage, class TOutputImage>

virtual const char* itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

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

template<class TInputImage, class TOutputImage>

virtual unsigned int itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::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

template<class TInputImage, class TOutputImage>

virtual ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetValueOne ( ) const

protectedvirtual

template<class TInputImage, class TOutputImage>

virtual ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::GetValueZero ( ) const

protectedvirtual

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::Initialize ( )

protectedvirtual

Constructs the sparse field layers and initializes their values.

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

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::InitializeActiveLayerValues ( )

protected

Initializes the values of the active layer set.

template<class TInputImage, class TOutputImage>

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::InitializeBackgroundPixels ( )

protectedvirtual

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.

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::InterpolateSurfaceLocationOff ( )

inline

See Get/SetInterpolateSurfaceLocation

Definition at line 317 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::InterpolateSurfaceLocationOn ( )

inline

See Get/SetInterpolateSurfaceLocation

Definition at line 315 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

static Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::operator= ( const Self & )

private

The RMS change calculated from each update. Can be used by a subclass to determine halting criteria. Valid only for the previous iteration, not during the current iteration. Calculated in ApplyUpdate. 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.

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

template<class TInputImage, class TOutputImage>

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::PostProcessOutput ( )

protectedvirtual

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::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtual

End concept checking

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

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ProcessOutsideList	(	LayerType *	OutsideList,
		StatusType	ChangeToStatus
	)

protected

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ProcessStatusList	(	LayerType *	InputList,
		LayerType *	OutputList,
		StatusType	ChangeToStatus,
		StatusType	SearchForStatus
	)

protected

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::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 TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::PropagateLayerValues	(	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 indices in "to" are traversed and assigned new values appropriately. Any indices 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).

template<class TInputImage, class TOutputImage>

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::SetInterpolateSurfaceLocation ( bool _arg )

virtual

Get the RMS change calculated in the PREVIOUS iteration. This value is the square root of the average square of the change value of all pixels updated during the previous iteration. 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 TOutputImage>

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::SetIsoSurfaceValue ( ValueType _arg )

virtual

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

template<class TInputImage, class TOutputImage>

virtual void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::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

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

template<class TInputImage, class TOutputImage>

itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::typedef ( Concept::EqualityComparable< typename TOutputImage::PixelType > )

Begin concept checking This class requires OutputEqualityComparableCheck in the form of ( Concept::EqualityComparable< typename TOutputImage::PixelType > )

template<class TInputImage, class TOutputImage>

itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::typedef ( Concept::Convertible< double, typename TOutputImage::PixelType > )

This class requires DoubleConvertibleToOutputCheck in the form of ( Concept::Convertible< double, typename TOutputImage::PixelType > )

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

template<class TInputImage, class TOutputImage>

itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::typedef ( Concept::OStreamWritable< typename TOutputImage::PixelType > )

This class requires OutputOStreamWritableCheck in the form of ( Concept::OStreamWritable< typename TOutputImage::PixelType > )

template<class TInputImage, class TOutputImage>

void itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::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.

Member Data Documentation

template<class TInputImage, class TOutputImage>

const unsigned int itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::ImageDimension = TOutputImage::ImageDimension

static

Dimensionality of input and output data is assumed to be the same.

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

Reimplemented in itk::SparseFieldFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, and itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 257 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

bool itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_BoundsCheckingActive

private

This flag is true when methods need to check boundary conditions and false when methods do not need to check for boundary conditions.

Definition at line 507 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

double itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ConstantGradientValue

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 432 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

bool itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_InterpolateSurfaceLocation

protected

The RMS change calculated from each update. Can be used by a subclass to determine halting criteria. Valid only for the previous iteration, not during the current iteration. Calculated in ApplyUpdate. 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 499 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_IsoSurfaceValue

protected

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

Definition at line 484 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

LayerNodeStorageType::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_LayerNodeStore

protected

Storage for layer node objects.

Definition at line 481 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

LayerListType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_Layers

protected

An array which contains all of the layers needed in the sparse field. Layers are organized as follows: m_Layer[0] = active layer, m_Layer[i:odd] = inside layer (i+1)/2, m_Layer[i:even] = outside layer i/2

Definition at line 469 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

SparseFieldCityBlockNeighborList< NeighborhoodIterator< OutputImageType > > itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_NeighborList

protected

Connectivity information for examining neighbor pixels.

Definition at line 424 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

unsigned int itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::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 475 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

OutputImageType::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ShiftedImage

protected

This image is a copy of the input with m_IsoSurfaceValue subtracted from each pixel. This way we only need to consider the zero level set in our calculations. Makes the implementation easier and more efficient.

Definition at line 463 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusActiveChangingDown

staticprotected

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

Definition at line 450 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusActiveChangingUp

staticprotected

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

Definition at line 446 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusBoundaryPixel

staticprotected

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

Definition at line 454 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusChanging

staticprotected

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

Definition at line 442 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

StatusImageType::Pointer itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusImage

protected

An image of status values used internally by the algorithm.

Definition at line 478 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

StatusType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_StatusNull

staticprotected

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

Definition at line 458 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

UpdateBufferType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_UpdateBuffer

protected

The update buffer used to store change values computed in CalculateChange.

Definition at line 488 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ValueOne

staticprotected

Multiplicative identity of the ValueType.

Definition at line 435 of file itkSparseFieldLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>

ValueType itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::m_ValueZero

staticprotected

Additive identity of the ValueType.

Definition at line 438 of file itkSparseFieldLevelSetImageFilter.h.

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

itkSparseFieldLevelSetImageFilter.h

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Protected Attributes

Static Protected Attributes

Private Attributes

Additional Inherited Members

Detailed Description

template<class TInputImage, class TOutputImage> class itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class TInputImage, class TOutputImage>
class itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >