#include <itkFiniteDifferenceImageFilter.h>

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

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

Public Types
using	ConstPointer = SmartPointer< const Self >

using	FiniteDifferenceFunctionType = FiniteDifferenceFunction< TOutputImage >

using	InputImageType = TInputImage

using	InputPixelType = typename TInputImage::PixelType

using	InputPixelValueType = typename NumericTraits< InputPixelType >::ValueType

using	NeighborhoodScalesType = typename FiniteDifferenceFunctionType::NeighborhoodScalesType

using	OutputImageType = TOutputImage

using	OutputPixelType = typename TOutputImage::PixelType

using	OutputPixelValueType = typename NumericTraits< OutputPixelType >::ValueType

using	PixelType = OutputPixelType

using	Pointer = SmartPointer< Self >

using	RadiusType = typename FiniteDifferenceFunctionType::RadiusType

using	Self = FiniteDifferenceImageFilter

using	Superclass = InPlaceImageFilter< TInputImage, TOutputImage >

using	TimeStepType = typename FiniteDifferenceFunctionType::TimeStepType

Public Types inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
using	ConstPointer = SmartPointer< const Self >

using	InputImageConstPointer = typename InputImageType::ConstPointer

using	InputImagePixelType = typename InputImageType::PixelType

using	InputImagePointer = typename InputImageType::Pointer

using	InputImageRegionType = typename InputImageType::RegionType

using	InputImageType = TInputImage

using	OutputImagePixelType = typename Superclass::OutputImagePixelType

using	OutputImagePointer = typename Superclass::OutputImagePointer

using	OutputImageRegionType = typename Superclass::OutputImageRegionType

using	OutputImageType = typename Superclass::OutputImageType

using	Pointer = SmartPointer< Self >

using	Self = InPlaceImageFilter

using	Superclass = ImageToImageFilter< TInputImage, TOutputImage >

Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using	ConstPointer = SmartPointer< const Self >

using	InputImageConstPointer = typename InputImageType::ConstPointer

using	InputImagePixelType = typename InputImageType::PixelType

using	InputImagePointer = typename InputImageType::Pointer

using	InputImageRegionType = typename InputImageType::RegionType

using	InputImageType = TInputImage

using	OutputImagePixelType = typename Superclass::OutputImagePixelType

using	OutputImageRegionType = typename Superclass::OutputImageRegionType

using	Pointer = SmartPointer< Self >

using	Self = ImageToImageFilter

using	Superclass = ImageSource< TOutputImage >

Public Types inherited from itk::ImageSource< TOutputImage >
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = Superclass::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType

using	OutputImagePixelType = typename OutputImageType::PixelType

using	OutputImagePointer = typename OutputImageType::Pointer

using	OutputImageRegionType = typename OutputImageType::RegionType

using	OutputImageType = TOutputImage

using	Pointer = SmartPointer< Self >

using	Self = ImageSource

using	Superclass = ProcessObject

Public Types inherited from itk::ProcessObject
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = DataObject::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArray = std::vector< DataObjectPointer >

using	DataObjectPointerArraySizeType = DataObjectPointerArray::size_type

using	MultiThreaderType = MultiThreaderBase

using	NameArray = std::vector< DataObjectIdentifierType >

using	Pointer = SmartPointer< Self >

using	Self = ProcessObject

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
virtual const FiniteDifferenceFunctionType ::Pointer &	GetDifferenceFunction () const

virtual const IdentifierType &	GetElapsedIterations () const

virtual const char *	GetNameOfClass () const

virtual void	SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)

Public Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
virtual void	SetInPlace (bool _arg)

virtual bool	GetInPlace () const

virtual void	InPlaceOn ()

virtual void	InPlaceOff ()

virtual bool	CanRunInPlace () const

Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageType *	GetInput () const

const InputImageType *	GetInput (unsigned int idx) const

void	PopBackInput () override

void	PopFrontInput () override

virtual void	PushBackInput (const InputImageType *input)

virtual void	PushFrontInput (const InputImageType *input)

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetInput (const InputImageType *input)

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< TOutputImage >
OutputImageType *	GetOutput ()

const OutputImageType *	GetOutput () const

OutputImageType *	GetOutput (unsigned int idx)

virtual void	GraftOutput (DataObject *graft)

virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)

virtual void	GraftNthOutput (unsigned int idx, DataObject *graft)

ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override

ProcessObject::DataObjectPointer	MakeOutput (const ProcessObject::DataObjectIdentifierType &) override

Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()

virtual void	AbortGenerateDataOn ()

virtual void	EnlargeOutputRequestedRegion (DataObject *)

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const

DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

NameArray	GetOutputNames () const

DataObjectPointerArray	GetOutputs ()

virtual float	GetProgress () const

NameArray	GetRequiredInputNames () const

bool	HasInput (const DataObjectIdentifierType &key) const

bool	HasOutput (const DataObjectIdentifierType &key) const

void	IncrementProgress (float increment)

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)

virtual void	SetReleaseDataFlag (bool val)

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	SetNumberOfWorkUnits (ThreadIdType _arg)

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

MultiThreaderType *	GetMultiThreader () const

void	SetMultiThreader (MultiThreaderType *threader)

virtual void	PrepareOutputs ()

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

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

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

LightObject::Pointer	CreateAnother () const override

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	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

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

Static Public Attributes
static constexpr unsigned int	ImageDimension = OutputImageType::ImageDimension

Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int	InputImageDimension = TInputImage::ImageDimension

static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int	InputImageDimension = TInputImage::ImageDimension

static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

bool	m_IsInitialized

IdentifierType	m_NumberOfIterations

IdentifierType	m_ElapsedIterations

bool	m_ManualReinitialization

double	m_RMSChange

double	m_MaximumRMSError

bool	m_UseImageSpacing

FiniteDifferenceFunctionType::Pointer	m_DifferenceFunction

virtual void	SetNumberOfIterations (IdentifierType _arg)

virtual const IdentifierType &	GetNumberOfIterations () 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 ()

virtual void	SetIsInitialized (bool _arg)

virtual bool	GetIsInitialized ()

void	SetStateToUninitialized ()

void	SetStateToInitialized ()

	FiniteDifferenceImageFilter ()

	~FiniteDifferenceImageFilter () override=default

void	PrintSelf (std::ostream &os, Indent indent) const override

virtual void	AllocateUpdateBuffer ()=0

virtual void	ApplyUpdate (const TimeStepType &dt)=0

virtual TimeStepType	CalculateChange ()=0

virtual void	CopyInputToOutput ()=0

void	GenerateData () override

void	GenerateInputRequestedRegion () override

virtual bool	Halt ()

virtual bool	ThreadedHalt (void *)

virtual void	Initialize ()

virtual void	InitializeIteration ()

virtual TimeStepType	ResolveTimeStep (const std::vector< TimeStepType > &timeStepList, const std::vector< bool > &valid) const

virtual void	SetElapsedIterations (IdentifierType _arg)

virtual void	PostProcessOutput ()

void	InitializeFunctionCoefficients ()

Additional Inherited Members
Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static void	SetGlobalDefaultDirectionTolerance (double)

static double	GetGlobalDefaultDirectionTolerance ()

static void	SetGlobalDefaultCoordinateTolerance (double)

static double	GetGlobalDefaultCoordinateTolerance ()

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using	InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >

using	OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >

Protected Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
	InPlaceImageFilter ()=default

	~InPlaceImageFilter () override=default

void	AllocateOutputs () override

void	ReleaseInputs () override

virtual bool	GetRunningInPlace () const

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
	ImageToImageFilter ()

	~ImageToImageFilter () override=default

void	VerifyInputInformation () ITKv5_CONST override

virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)

virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

void	PushBackInput (const DataObject *input) override

void	PushFrontInput (const DataObject *input) override

Protected Member Functions inherited from itk::ImageSource< TOutputImage >
	ImageSource ()

	~ImageSource () override=default

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

virtual void	ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)

virtual void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)

virtual void	BeforeThreadedGenerateData ()

virtual void	AfterThreadedGenerateData ()

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)

virtual bool	GetDynamicMultiThreading () const

virtual void	SetDynamicMultiThreading (bool _arg)

virtual void	DynamicMultiThreadingOn ()

virtual void	DynamicMultiThreadingOff ()

Protected Member Functions inherited from itk::ProcessObject
	ProcessObject ()

	~ProcessObject () override

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)

virtual void	AddInput (DataObject *input)

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

virtual void	SetPrimaryInput (DataObject *object)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

void	SetRequiredInputNames (const NameArray &)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName () const

DataObject *	GetOutput (DataObjectPointerArraySizeType i)

const DataObject *	GetOutput (DataObjectPointerArraySizeType i) const

virtual void	SetOutput (const DataObjectIdentifierType &name, DataObject *output)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual void	SetPrimaryOutput (DataObject *object)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

virtual void	AddOutput (DataObject *output)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

virtual void	VerifyPreconditions () ITKv5_CONST

virtual void	GenerateOutputRequestedRegion (DataObject *output)

virtual void	GenerateOutputInformation ()

virtual void	PropagateResetPipeline ()

virtual void	CacheInputReleaseDataFlags ()

virtual void	RestoreInputReleaseDataFlags ()

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	ThreaderUpdateProgressOff ()

virtual void	SetThreaderUpdateProgress (bool arg)

Protected Member Functions inherited from itk::Object
	Object ()

	~Object () override

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

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 ()

Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	ThreaderCallback (void *arg)

Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool	m_DynamicMultiThreading

Protected Attributes inherited from itk::ProcessObject
bool	m_Updating

TimeStamp	m_OutputInformationMTime

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

template<typename TInputImage, typename TOutputImage>
class itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >

The Finite Difference Solver Hierarchy

: This is an overview of the Finite Difference Solver (FDS) framework. The FDS framework is a set of classes for creating filters to solve partial differential equations on images using an iterative, finite difference update scheme.

: The high-level algorithm implemented by the framework can be described by the following pseudocode.

WHILE NOT convergence:
   FOR ALL pixels i
      time_step = calculate_change(i)
      update(i, time_step)

: The following equation describes update at pixel on discrete image :

$u_{\mathbf{i}}^{n+1}=u^n_{\mathbf{i}}+\Delta u^n_{\mathbf{i}}\Delta t$

Component objects: The FDS hierarchy is comprised of two component object types, variations of which are designed to be plugged together to create filters for different applications. At the process level are the "solver" objects, which are subclasses of FiniteDifferenceImageFilter. Solver objects are filters that take image inputs and produce image outputs. Solver objects require a FiniteDifferenceFunction object to perform the calculation at each image pixel during iteration. These specialized function objects are subclasses of FiniteDifferenceFunction. FiniteDifferenceFunction take a neighborhood of pixels as input (in the form of an itk::NeighborhoodIterator) and produce a scalar valued result.

: Filters for different applications are created by defining a function object to handle the numerical calculations and choosing (or creating) a solver object that reflects the requirements and constraints of the application.

For example, anisotropic diffusion filters are created by plugging anisotropic diffusion functions into the DenseFiniteDifferenceImageFilter.

The separation between function object and solver object allows us to create, for example, sparse-field, dense-field, and narrow-band implementations of a level-set surface evolution filter can all be constructed by plugging the same function object into three different, specialized solvers.

Creating new filters in this hierarchy: The procedure for creating a filter within the FDS hierarchy is to identify all the virtual methods that need to be defined for your particular application. In the simplest case, a filter needs only to instantiate a specific function object and define some halting criteria. For more complicated applications, you may need to define a specialized type of iteration scheme or updating procedure in a higher-level solver object.

: Some simple examples are the specific subclasses of AnisotropicDiffusionImageFilter. The leaves of the anisotropic diffusion filter tree only define the function object they use for their particular flavor of diffusion. See CurvatureAnisotropicDiffusionImageFilter and GradientAnisotropicDiffusionImageFilter for details.

FiniteDifferenceImageFilter: This class defines the generic solver API at the top level of the FDS framework. FiniteDifferenceImageFilter is an abstract class that implements the generic, high-level algorithm (described above).

Inputs and Outputs: This filter is an ImageToImage filter. Depending on the specific subclass implementation, finite difference image filters may process a variety of image types. The input to the filter is the initial value of and the output of the filter is the solution to the P.D.E.

How to use this class

GenerateData() relies on several virtual methods that must be defined by a subclass. Specifically:

AllocateUpdateBuffer()
ApplyUpdate()
CalculateChange()
Halt(). To create a finite difference solver, implement a subclass to define these methods.

: Note that there is no fixed container type for the buffer used to hold the update $\Delta$ . The container might be another image, or simply a list of values. AllocateUpdateBuffer is responsible for creating the $\Delta$ container. CalculateChange populates this buffer and ApplyUpdate adds the buffer values to the output image (solution). The boolean Halt() (or ThreadedHalt()) method returns a true value to stop iteration.

See also: DenseFiniteDifferenceImageFilter

Definition at line 132 of file itkFiniteDifferenceImageFilter.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self>

Definition at line 141 of file itkFiniteDifferenceImageFilter.h.

◆ FiniteDifferenceFunctionType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::FiniteDifferenceFunctionType = FiniteDifferenceFunction<TOutputImage>

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.

Definition at line 165 of file itkFiniteDifferenceImageFilter.h.

◆ InputImageType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage

Input and output image types.

Definition at line 147 of file itkFiniteDifferenceImageFilter.h.

◆ InputPixelType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::InputPixelType = typename TInputImage::PixelType

Definition at line 155 of file itkFiniteDifferenceImageFilter.h.

◆ InputPixelValueType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::InputPixelValueType = typename NumericTraits<InputPixelType>::ValueType

Definition at line 160 of file itkFiniteDifferenceImageFilter.h.

◆ NeighborhoodScalesType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::NeighborhoodScalesType = typename FiniteDifferenceFunctionType::NeighborhoodScalesType

Definition at line 169 of file itkFiniteDifferenceImageFilter.h.

◆ OutputImageType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage

Definition at line 148 of file itkFiniteDifferenceImageFilter.h.

◆ OutputPixelType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::OutputPixelType = typename TOutputImage::PixelType

The pixel type of the output image will be used in computations.

Definition at line 154 of file itkFiniteDifferenceImageFilter.h.

◆ OutputPixelValueType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::OutputPixelValueType = typename NumericTraits<OutputPixelType>::ValueType

Extract value type in case the pixel is of vector type

Definition at line 159 of file itkFiniteDifferenceImageFilter.h.

◆ PixelType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::PixelType = OutputPixelType

Definition at line 156 of file itkFiniteDifferenceImageFilter.h.

◆ Pointer

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self>

Definition at line 140 of file itkFiniteDifferenceImageFilter.h.

◆ RadiusType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::RadiusType = typename FiniteDifferenceFunctionType::RadiusType

Definition at line 168 of file itkFiniteDifferenceImageFilter.h.

◆ Self

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::Self = FiniteDifferenceImageFilter

Standard class type aliases.

Definition at line 138 of file itkFiniteDifferenceImageFilter.h.

◆ Superclass

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::Superclass = InPlaceImageFilter<TInputImage, TOutputImage>

Definition at line 139 of file itkFiniteDifferenceImageFilter.h.

◆ TimeStepType

template<typename TInputImage, typename TOutputImage>

using itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::TimeStepType = typename FiniteDifferenceFunctionType::TimeStepType

Definition at line 166 of file itkFiniteDifferenceImageFilter.h.

Constructor & Destructor Documentation

◆ FiniteDifferenceImageFilter()

template<typename TInputImage, typename TOutputImage>

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

protected

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ ~FiniteDifferenceImageFilter()

template<typename TInputImage, typename TOutputImage>

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

overrideprotecteddefault

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Member Function Documentation

◆ AllocateUpdateBuffer()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::AllocateUpdateBuffer ( )

protectedpure virtual

This method allocates a temporary update container in the subclass.

Implemented in itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::DiffeomorphicDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::FastSymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::DenseFiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >, itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >, and itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >.

◆ ApplyUpdate()

template<typename TInputImage, typename TOutputImage>

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

protectedpure virtual

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

Parameters

dt	Time step value.

Implemented in itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::DiffeomorphicDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::FastSymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >, itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, and itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >.

◆ CalculateChange()

template<typename TInputImage, typename TOutputImage>

virtual TimeStepType itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::CalculateChange ( )

protectedpure virtual

This method is defined by a subclass to populate an update buffer with changes for the pixels in the output. It returns a time step value to be used for the update.

Returns: A time step to use in updating the output with the changes calculated from this method.

Implemented in itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >, itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >, itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >, and itk::DenseFiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >.

◆ CopyInputToOutput()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::CopyInputToOutput ( )

protectedpure virtual

This method can be defined in subclasses as needed to copy the input to the output. See DenseFiniteDifferenceImageFilter for an implementation.

Implemented in itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >, itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >, and itk::DenseFiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >.

◆ GenerateData()

template<typename TInputImage, typename TOutputImage>

void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GenerateData ( )

overrideprotectedvirtual

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

Reimplemented from itk::ImageSource< TOutputImage >.

Reimplemented in itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, and itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage, typename TOutputImage>

void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( )

overrideprotectedvirtual

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

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

See also: ProcessObject::GenerateInputRequestedRegion()

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

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

◆ GetDifferenceFunction()

template<typename TInputImage, typename TOutputImage>

virtual const FiniteDifferenceFunctionType ::Pointer& itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GetDifferenceFunction ( ) const

virtual

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

Returns: A FiniteDifferenceObject pointer.

◆ GetElapsedIterations()

template<typename TInputImage, typename TOutputImage>

virtual const IdentifierType& itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GetElapsedIterations ( ) const

virtual

Get the number of elapsed iterations of the filter.

◆ GetIsInitialized()

template<typename TInputImage, typename TOutputImage>

virtual bool itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GetIsInitialized ( )

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ GetManualReinitialization()

template<typename TInputImage, typename TOutputImage>

virtual const bool& itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GetManualReinitialization ( ) const

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ GetMaximumRMSError()

template<typename TInputImage, typename TOutputImage>

virtual const double& itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GetMaximumRMSError ( ) const

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ GetNameOfClass()

template<typename TInputImage, typename TOutputImage>

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

virtual

Run-time type information (and related methods)

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

◆ GetNumberOfIterations()

template<typename TInputImage, typename TOutputImage>

virtual const IdentifierType& itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GetNumberOfIterations ( ) const

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ GetRMSChange()

template<typename TInputImage, typename TOutputImage>

virtual const double& itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GetRMSChange ( ) const

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Reimplemented in itk::DiffeomorphicDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, and itk::FastSymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >.

◆ GetUseImageSpacing()

template<typename TInputImage, typename TOutputImage>

virtual const bool& itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::GetUseImageSpacing ( ) const

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ Halt()

template<typename TInputImage, typename TOutputImage>

virtual bool itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::Halt ( )

protectedvirtual

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

Reimplemented in itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >, itk::AnisotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::IsotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, and itk::UnsharpMaskLevelSetImageFilter< TInputImage, TOutputImage >.

◆ Initialize()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::Initialize ( )

inlineprotectedvirtual

This method is optionally defined by a subclass and is called before the loop of iterations of calculate_change & update. It does the global initialization, i.e. in the SparseFieldLevelSetImageFilter, initialize the list of layers.

Reimplemented in itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::CurvatureRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField, TImageForceFunction >, itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >, and itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >.

Definition at line 315 of file itkFiniteDifferenceImageFilter.h.

◆ InitializeFunctionCoefficients()

template<typename TInputImage, typename TOutputImage>

void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::InitializeFunctionCoefficients ( )

private

Initialize the values of the Function coefficients. This function will also take care of checking whether the image spacing should be taken into account or not.

◆ InitializeIteration()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::InitializeIteration ( )

inlineprotectedvirtual

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

Definition at line 325 of file itkFiniteDifferenceImageFilter.h.

◆ ManualReinitializationOff()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::ManualReinitializationOff ( )

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ ManualReinitializationOn()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::ManualReinitializationOn ( )

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ PostProcessOutput()

template<typename TInputImage, typename TOutputImage>

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

inlineprotectedvirtual

This method is called after the solution has been generated to allow subclasses to apply some further processing to the output.

Reimplemented in itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, and itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >.

Definition at line 351 of file itkFiniteDifferenceImageFilter.h.

◆ PrintSelf()

template<typename TInputImage, typename TOutputImage>

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

overrideprotectedvirtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

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

◆ ResolveTimeStep()

template<typename TInputImage, typename TOutputImage>

virtual TimeStepType itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::ResolveTimeStep	(	const std::vector< TimeStepType > &	timeStepList,
		const std::vector< bool > &	valid
	)		const

protectedvirtual

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

Returns: Time step (dt) for the iteration update based on a list of time steps generated from the threaded calculated change method (one for each region processed).

Parameters

timeStepList	The set of time changes compiled from all the threaded calls to ThreadedGenerateData.
valid	The set of flags indicating which of "list" elements are valid

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

◆ SetDifferenceFunction()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetDifferenceFunction ( FiniteDifferenceFunctionType * _arg )

virtual

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

Returns: A FiniteDifferenceObject pointer.

Referenced by itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::CurvatureAnisotropicDiffusionImageFilter(), itk::VectorCurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::VectorCurvatureAnisotropicDiffusionImageFilter(), and itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::VectorGradientAnisotropicDiffusionImageFilter().

◆ SetElapsedIterations()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetElapsedIterations ( IdentifierType _arg )

protectedvirtual

Set the number of elapsed iterations of the filter.

◆ SetIsInitialized()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetIsInitialized ( bool _arg )

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ SetManualReinitialization()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetManualReinitialization ( bool _arg )

virtual

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

◆ SetMaximumRMSError()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetMaximumRMSError ( double _arg )

virtual

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

Reimplemented in itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >, and itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > >.

◆ SetNumberOfIterations()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetNumberOfIterations ( IdentifierType _arg )

virtual

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

◆ SetRMSChange()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetRMSChange ( double _arg )

virtual

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

◆ SetStateToInitialized()

template<typename TInputImage, typename TOutputImage>

void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetStateToInitialized ( )

inline

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Definition at line 224 of file itkFiniteDifferenceImageFilter.h.

◆ SetStateToUninitialized()

template<typename TInputImage, typename TOutputImage>

void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetStateToUninitialized ( )

inline

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Definition at line 219 of file itkFiniteDifferenceImageFilter.h.

◆ SetUseImageSpacing()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::SetUseImageSpacing ( bool _arg )

virtual

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

◆ ThreadedHalt()

template<typename TInputImage, typename TOutputImage>

virtual bool itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::ThreadedHalt ( void * )

inlineprotectedvirtual

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

Definition at line 304 of file itkFiniteDifferenceImageFilter.h.

◆ UseImageSpacingOff()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::UseImageSpacingOff ( )

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

◆ UseImageSpacingOn()

template<typename TInputImage, typename TOutputImage>

virtual void itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::UseImageSpacingOn ( )

virtual

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Member Data Documentation

◆ ImageDimension

template<typename TInputImage, typename TOutputImage>

constexpr unsigned int itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::ImageDimension = OutputImageType::ImageDimension

staticconstexpr

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

Definition at line 151 of file itkFiniteDifferenceImageFilter.h.

◆ m_DifferenceFunction

template<typename TInputImage, typename TOutputImage>

FiniteDifferenceFunctionType::Pointer itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_DifferenceFunction

private

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

Definition at line 380 of file itkFiniteDifferenceImageFilter.h.

◆ m_ElapsedIterations

template<typename TInputImage, typename TOutputImage>

IdentifierType itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_ElapsedIterations

protected

A counter for keeping track of the number of elapsed iterations during filtering.

Definition at line 359 of file itkFiniteDifferenceImageFilter.h.

◆ m_IsInitialized

template<typename TInputImage, typename TOutputImage>

bool itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_IsInitialized

protected

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Definition at line 240 of file itkFiniteDifferenceImageFilter.h.

◆ m_ManualReinitialization

template<typename TInputImage, typename TOutputImage>

bool itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_ManualReinitialization

protected

Indicates whether the filter automatically resets to UNINITIALIZED state after completing, or whether filter must be manually reset

Definition at line 363 of file itkFiniteDifferenceImageFilter.h.

◆ m_MaximumRMSError

template<typename TInputImage, typename TOutputImage>

double itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_MaximumRMSError

protected

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Definition at line 366 of file itkFiniteDifferenceImageFilter.h.

◆ m_NumberOfIterations

template<typename TInputImage, typename TOutputImage>

IdentifierType itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_NumberOfIterations

protected

The maximum number of iterations this filter will run

Definition at line 355 of file itkFiniteDifferenceImageFilter.h.

◆ m_RMSChange

template<typename TInputImage, typename TOutputImage>

double itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_RMSChange

protected

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Definition at line 365 of file itkFiniteDifferenceImageFilter.h.

◆ m_UseImageSpacing

template<typename TInputImage, typename TOutputImage>

bool itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_UseImageSpacing

private

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

Definition at line 377 of file itkFiniteDifferenceImageFilter.h.

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

itkFiniteDifferenceImageFilter.h

Public Types

Public Member Functions

Static Public Attributes

Additional Inherited Members

Detailed Description

template<typename TInputImage, typename TOutputImage> class itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >

Member Typedef Documentation

◆ ConstPointer

◆ FiniteDifferenceFunctionType

◆ InputImageType

◆ InputPixelType

◆ InputPixelValueType

◆ NeighborhoodScalesType

◆ OutputImageType

◆ OutputPixelType

◆ OutputPixelValueType

◆ PixelType

◆ Pointer

◆ RadiusType

◆ Self

◆ Superclass

◆ TimeStepType

Constructor & Destructor Documentation

◆ FiniteDifferenceImageFilter()

◆ ~FiniteDifferenceImageFilter()

Member Function Documentation

◆ AllocateUpdateBuffer()

◆ ApplyUpdate()

◆ CalculateChange()

◆ CopyInputToOutput()

◆ GenerateData()

◆ GenerateInputRequestedRegion()

◆ GetDifferenceFunction()

◆ GetElapsedIterations()

◆ GetIsInitialized()

◆ GetManualReinitialization()

◆ GetMaximumRMSError()

◆ GetNameOfClass()

◆ GetNumberOfIterations()

◆ GetRMSChange()

◆ GetUseImageSpacing()

◆ Halt()

◆ Initialize()

◆ InitializeFunctionCoefficients()

◆ InitializeIteration()

◆ ManualReinitializationOff()

◆ ManualReinitializationOn()

◆ PostProcessOutput()

◆ PrintSelf()

◆ ResolveTimeStep()

◆ SetDifferenceFunction()

◆ SetElapsedIterations()

◆ SetIsInitialized()

◆ SetManualReinitialization()

◆ SetMaximumRMSError()

◆ SetNumberOfIterations()

◆ SetRMSChange()

◆ SetStateToInitialized()

◆ SetStateToUninitialized()

◆ SetUseImageSpacing()

◆ ThreadedHalt()

◆ UseImageSpacingOff()

◆ UseImageSpacingOn()

Member Data Documentation

◆ ImageDimension

◆ m_DifferenceFunction

◆ m_ElapsedIterations

◆ m_IsInitialized

◆ m_ManualReinitialization

◆ m_MaximumRMSError

◆ m_NumberOfIterations

◆ m_RMSChange

◆ m_UseImageSpacing

template<typename TInputImage, typename TOutputImage>
class itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >