#include <itkThresholdSegmentationLevelSetImageFilter.h>

Detailed Description

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

Segments structures in images based on intensity values.

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

OVERVIEW: This class is a level set method segmentation filter. It constructs a speed function which is close to zero at the upper and lower bounds of an intensity window, effectively locking the propagating front onto those edges. Elsewhere, the front will propagate quickly.

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

: The second input is the feature image. This is the image from which the speed function will be calculated. For most applications, this is the image that you want to segment. The desired isosurface in your seed image should lie within the region of your feature image that you are trying to segment. Note that this filter does no preprocessing of the feature image before thresholding.

: See SegmentationLevelSetImageFilter for more information on Inputs.

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

: See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.

PARAMETERS: In addition to parameters described in SegmentationLevelSetImageFilter, this filter adds the UpperThreshold and LowerThreshold. See ThresholdSegmentationLevelSetFunction for a description of how these values affect the segmentation.

See also: SegmentationLevelSetImageFilter; ThresholdSegmentationLevelSetFunction,; SparseFieldLevelSetImageFilter

Examples: Examples/Segmentation/ThresholdSegmentationLevelSetImageFilter.cxx.

Definition at line 84 of file itkThresholdSegmentationLevelSetImageFilter.h.

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

Collaboration diagram for itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:

Public Types
using	ConstPointer = SmartPointer<const Self>

using	FeatureImageType

using	OutputImageType

using	Pointer = SmartPointer<Self>

using	Self = ThresholdSegmentationLevelSetImageFilter

using	Superclass = SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>

using	ThresholdFunctionPointer = typename ThresholdFunctionType::Pointer

using	ThresholdFunctionType = ThresholdSegmentationLevelSetFunction<OutputImageType, FeatureImageType>

typedef typename OutputImageType::ValueType	ValueType

Public Types inherited from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, float >
using	ConstPointer

using	FeatureImageType

typedef typename OutputImageType::IndexType	IndexType

using	IndexType

typedef TInputImage	InputImageType

using	InputImageType

using	OutputImageType

using	Pointer

using	SegmentationFunctionType

using	Self

using	SpeedImageType

using	Superclass

typedef typename OutputImageType::ValueType	ValueType

using	ValueType

using	VectorImageType

Public Types inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
using	ConstPointer

using	IndexType

using	InputImageType

using	LayerListType

using	LayerNodeStorageType

using	LayerNodeType

using	LayerPointerType

using	LayerType

typedef typename FiniteDifferenceFunctionType::NeighborhoodScalesType	NeighborhoodScalesType

using	NeighborhoodScalesType

using	OutputImageType

using	Pointer

typedef typename FiniteDifferenceFunctionType::RadiusType	RadiusType

using	RadiusType

using	Self

using	StatusImageType

using	StatusType

using	Superclass

typedef typename FiniteDifferenceFunctionType::TimeStepType	TimeStepType

using	TimeStepType

using	UpdateBufferType

using	ValueType

Public Types inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
using	ConstPointer

using	FiniteDifferenceFunctionType

using	InputImageType

using	InputPixelType

using	InputPixelValueType

using	NeighborhoodScalesType

using	OutputImageType

using	OutputPixelType

using	OutputPixelValueType

using	PixelType

using	Pointer

using	RadiusType

using	Self

using	Superclass

using	TimeStepType

Public Types inherited from itk::InPlaceImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
using	ConstPointer

using	InputImageConstPointer

using	InputImagePixelType

using	InputImagePointer

using	InputImageRegionType

using	InputImageType

typedef typename OutputImageType::PixelType	OutputImagePixelType

using	OutputImagePixelType

typedef typename OutputImageType::RegionType	OutputImageRegionType

using	OutputImageRegionType

using	Pointer

using	Self

using	Superclass

Public Types inherited from itk::ImageToImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
using	ConstPointer

using	InputImageConstPointer

using	InputImagePixelType

using	InputImagePointer

using	InputImageRegionType

using	InputImageType

typedef typename OutputImageType::PixelType	OutputImagePixelType

using	OutputImagePixelType

typedef typename OutputImageType::RegionType	OutputImageRegionType

using	OutputImageRegionType

using	Pointer

using	Self

using	Superclass

Public Types inherited from itk::ImageSource< Image< float, TInputImage::ImageDimension > >
using	ConstPointer

using	DataObjectIdentifierType

using	DataObjectPointer

using	DataObjectPointerArraySizeType

using	OutputImagePixelType

using	OutputImagePointer

using	OutputImageRegionType

using	OutputImageType

using	Pointer

using	Self

using	Superclass

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::itk::LightObject::Pointer	CreateAnother () const

const char *	GetNameOfClass () const override


void	SetUpperThreshold (ValueType v)

void	SetLowerThreshold (ValueType v)

ValueType	GetUpperThreshold () const

ValueType	GetLowerThreshold () const


void	SetEdgeWeight (ValueType v)

ValueType	GetEdgeWeight () const


void	SetSmoothingIterations (int v)

int	GetSmoothingIterations () const


void	SetSmoothingTimeStep (ValueType v)

ValueType	GetSmoothingTimeStep () const


void	SetSmoothingConductance (ValueType v)

ValueType	GetSmoothingConductance () const

Public Member Functions inherited from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, float >
void	GenerateAdvectionImage ()

void	GenerateSpeedImage ()

virtual const VectorImageType *	GetAdvectionImage () const

virtual SegmentationFunctionType *	GetSegmentationFunction ()

virtual const SpeedImageType *	GetSpeedImage () const

void	SetAdvectionImage (VectorImageType *v)

void	SetFeatureScaling (ValueType v)

void	SetInput2 (const FeatureImageType *input)

virtual void	SetSegmentationFunction (SegmentationFunctionType *s)

void	SetSpeedImage (SpeedImageType *s)

void	UseMinimalCurvatureOff ()

void	UseMinimalCurvatureOn ()

void	SetMaximumIterations (unsigned int i)

unsigned int	GetMaximumIterations ()

virtual void	SetFeatureImage (const FeatureImageType *f)

	itkGetInputMacro (FeatureImage, FeatureImageType)

	itkGetInputMacro (InitialImage, InputImageType)

	itkSetInputMacro (InitialImage, InputImageType)

void	SetUseNegativeFeaturesOn ()

void	SetUseNegativeFeaturesOff ()

void	SetUseNegativeFeatures (bool u)

bool	GetUseNegativeFeatures () const

virtual void	SetReverseExpansionDirection (bool _arg)

virtual bool	GetReverseExpansionDirection () const

virtual void	ReverseExpansionDirectionOn ()

virtual void	ReverseExpansionDirectionOff ()

virtual void	SetAutoGenerateSpeedAdvection (bool _arg)

virtual bool	GetAutoGenerateSpeedAdvection () const

virtual void	AutoGenerateSpeedAdvectionOn ()

virtual void	AutoGenerateSpeedAdvectionOff ()

void	SetPropagationScaling (ValueType v)

ValueType	GetPropagationScaling () const

void	SetAdvectionScaling (ValueType v)

ValueType	GetAdvectionScaling () const

void	SetCurvatureScaling (ValueType v)

ValueType	GetCurvatureScaling () const

void	SetUseMinimalCurvature (bool b)

bool	GetUseMinimalCurvature () const

void	SetMaximumCurvatureTimeStep (double n)

double	GetMaximumCurvatureTimeStep () const

void	SetMaximumPropagationTimeStep (double n)

double	GetMaximumPropagationTimeStep () const

Public Member Functions inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
virtual void	SetNumberOfLayers (unsigned int _arg)

virtual unsigned int	GetNumberOfLayers () const

virtual void	SetIsoSurfaceValue (ValueType _arg)

virtual ValueType	GetIsoSurfaceValue () const

virtual void	SetInterpolateSurfaceLocation (bool _arg)

virtual bool	GetInterpolateSurfaceLocation () const

void	InterpolateSurfaceLocationOn ()

void	InterpolateSurfaceLocationOff ()

Public Member Functions inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
virtual const FiniteDifferenceFunctionType::Pointer &	GetDifferenceFunction () const

virtual const IdentifierType &	GetElapsedIterations () const

virtual bool	GetIsInitialized ()

virtual void	SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)

virtual void	SetIsInitialized (bool _arg)

void	SetStateToInitialized ()

void	SetStateToUninitialized ()

virtual void	SetNumberOfIterations (IdentifierType _arg)

virtual const 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 ()

Public Member Functions inherited from itk::InPlaceImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
virtual bool	CanRunInPlace () const

virtual void	SetInPlace (bool _arg)

virtual bool	GetInPlace () const

virtual void	InPlaceOn ()

virtual void	InPlaceOff ()

Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
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 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< Image< float, TInputImage::ImageDimension > >
OutputImageType *	GetOutput (unsigned int idx)

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

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

virtual void	GraftOutput (DataObject *graft)

OutputImageType *	GetOutput ()

const OutputImageType *	GetOutput () const

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 *output)

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

MultiThreaderType *	GetMultiThreader () const

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	PrepareOutputs ()

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

void	SetMultiThreader (MultiThreaderType *threader)

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

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

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

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) const

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 Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
static Pointer	New ()

Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
static double	GetGlobalDefaultCoordinateTolerance ()

static double	GetGlobalDefaultCoordinateTolerance ()

static double	GetGlobalDefaultDirectionTolerance ()

static double	GetGlobalDefaultDirectionTolerance ()

static void	SetGlobalDefaultCoordinateTolerance (double)

static void	SetGlobalDefaultCoordinateTolerance (double)

static void	SetGlobalDefaultDirectionTolerance (double)

static void	SetGlobalDefaultDirectionTolerance (double)

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

	ThresholdSegmentationLevelSetImageFilter ()

	~ThresholdSegmentationLevelSetImageFilter () override=default

Protected Member Functions inherited from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, float >
void	GenerateData () override

void	InitializeIteration () override

	SegmentationLevelSetImageFilter ()

	~SegmentationLevelSetImageFilter () override=default

Protected Member Functions inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
void	AllocateUpdateBuffer () override

void	ApplyUpdate (const TimeStepType &dt) override

TimeStepType	CalculateChange () override

virtual ValueType	CalculateUpdateValue (const IndexType &idx, const TimeStepType &dt, const ValueType &value, const ValueType &change)

void	ConstructActiveLayer ()

void	ConstructLayer (StatusType from, StatusType to)

void	CopyInputToOutput () override

virtual ValueType	GetValueOne () const

virtual ValueType	GetValueZero () const

void	Initialize () override

void	InitializeActiveLayerValues ()

virtual void	InitializeBackgroundPixels ()

void	PostProcessOutput () override

void	ProcessOutsideList (LayerType *OutsideList, StatusType ChangeToStatus)

void	ProcessStatusList (LayerType InputList, LayerType OutputList, StatusType ChangeToStatus, StatusType SearchForStatus)

void	PropagateAllLayerValues ()

void	PropagateLayerValues (StatusType from, StatusType to, StatusType promote, int InOrOut)

	SparseFieldLevelSetImageFilter ()

void	UpdateActiveLayerValues (TimeStepType dt, LayerType UpList, LayerType DownList)

	~SparseFieldLevelSetImageFilter () override=default

Protected Member Functions inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
virtual void	ApplyUpdate (const TimeStepType &dt)=0

	FiniteDifferenceImageFilter ()

void	GenerateInputRequestedRegion () override

virtual bool	Halt ()

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

virtual void	SetElapsedIterations (IdentifierType _arg)

virtual bool	ThreadedHalt (void *threadInfo)

	~FiniteDifferenceImageFilter () override=default

Protected Member Functions inherited from itk::InPlaceImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
void	AllocateOutputs () override

virtual bool	GetRunningInPlace () const

	InPlaceImageFilter ()=default

void	ReleaseInputs () override

	~InPlaceImageFilter () override=default

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

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

void	GenerateInputRequestedRegion () override

	ImageToImageFilter ()

void	VerifyInputInformation () const override

	~ImageToImageFilter () override=default

Protected Member Functions inherited from itk::ImageSource< Image< float, TInputImage::ImageDimension > >
virtual void	AfterThreadedGenerateData ()

virtual void	BeforeThreadedGenerateData ()

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

	ImageSource ()

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

	~ImageSource () override=default

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

virtual void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)

virtual bool	GetDynamicMultiThreading () const

virtual void	SetDynamicMultiThreading (bool _arg)

virtual void	DynamicMultiThreadingOn ()

virtual void	DynamicMultiThreadingOff ()

Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

virtual void	AddOutput (DataObject *output)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

virtual void	CacheInputReleaseDataFlags ()

virtual void	GenerateOutputInformation ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

	ProcessObject ()

virtual void	PropagateResetPipeline ()

virtual void	PushBackInput (const DataObject *input)

virtual void	PushFrontInput (const DataObject *input)

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 idx, DataObject *input)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

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

virtual void	SetPrimaryInput (DataObject *object)

virtual void	SetPrimaryOutput (DataObject *object)

void	SetRequiredInputNames (const NameArray &)

virtual void	VerifyPreconditions () const

	~ProcessObject () override

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

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

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	ThreaderUpdateProgressOff ()

virtual void	SetThreaderUpdateProgress (bool arg)

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

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

	~Object () override

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 ()

Private Attributes
ThresholdFunctionPointer	m_ThresholdFunction {}

Additional Inherited Members
Static Public Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
static constexpr unsigned int	ImageDimension

Static Public Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
static constexpr unsigned int	ImageDimension

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

static constexpr unsigned int	OutputImageDimension

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

static constexpr unsigned int	OutputImageDimension

Static Public Attributes inherited from itk::ImageSource< Image< float, TInputImage::ImageDimension > >
static constexpr unsigned int	OutputImageDimension

Protected Types inherited from itk::ImageToImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
using	InputToOutputRegionCopierType

using	OutputToInputRegionCopierType

Static Protected Member Functions inherited from itk::ImageSource< Image< float, TInputImage::ImageDimension > >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	ThreaderCallback (void *arg)

Static Protected Member Functions inherited from itk::ProcessObject
template<typename TSourceObject>
static void	MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs)

static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

Protected Attributes inherited from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, float >
bool	m_AutoGenerateSpeedAdvection

bool	m_ReverseExpansionDirection

Protected Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
double	m_ConstantGradientValue

const InputImageType *	m_InputImage

bool	m_InterpolateSurfaceLocation

ValueType	m_IsoSurfaceValue

LayerNodeStorageType::Pointer	m_LayerNodeStore

LayerListType	m_Layers

SparseFieldCityBlockNeighborList< NeighborhoodIterator< OutputImageType > >	m_NeighborList

unsigned int	m_NumberOfLayers

OutputImageType *	m_OutputImage

OutputImageType::Pointer	m_ShiftedImage

StatusImageType::Pointer	m_StatusImage

UpdateBufferType	m_UpdateBuffer

Protected Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
IdentifierType	m_ElapsedIterations

bool	m_IsInitialized

bool	m_ManualReinitialization

double	m_MaximumRMSError

IdentifierType	m_NumberOfIterations

double	m_RMSChange

Protected Attributes inherited from itk::ImageSource< Image< float, TInputImage::ImageDimension > >
bool	m_DynamicMultiThreading

Protected Attributes inherited from itk::ProcessObject
TimeStamp	m_OutputInformationMTime {}

bool	m_Updating {}

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

Static Protected Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >
static StatusType	m_StatusActiveChangingDown

static StatusType	m_StatusActiveChangingUp

static StatusType	m_StatusBoundaryPixel

static StatusType	m_StatusChanging

static StatusType	m_StatusNull

static ValueType	m_ValueOne

static ValueType	m_ValueZero

Member Typedef Documentation

◆ ConstPointer

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

using itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ConstPointer = SmartPointer<const Self>

Definition at line 94 of file itkThresholdSegmentationLevelSetImageFilter.h.

◆ FeatureImageType

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

using itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType

Local image type alias

Definition at line 170 of file itkSegmentationLevelSetImageFilter.h.

◆ OutputImageType

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

using itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::OutputImageType

Output image type alias

Definition at line 156 of file itkSegmentationLevelSetImageFilter.h.

◆ Pointer

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

using itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer = SmartPointer<Self>

Definition at line 93 of file itkThresholdSegmentationLevelSetImageFilter.h.

◆ Self

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

using itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self = ThresholdSegmentationLevelSetImageFilter

Standard class type aliases

Definition at line 91 of file itkThresholdSegmentationLevelSetImageFilter.h.

◆ Superclass

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

using itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass = SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType>

Definition at line 92 of file itkThresholdSegmentationLevelSetImageFilter.h.

◆ ThresholdFunctionPointer

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

using itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ThresholdFunctionPointer = typename ThresholdFunctionType::Pointer

Definition at line 103 of file itkThresholdSegmentationLevelSetImageFilter.h.

◆ ThresholdFunctionType

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

using itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ThresholdFunctionType = ThresholdSegmentationLevelSetFunction<OutputImageType, FeatureImageType>

Type of the segmentation function

Definition at line 102 of file itkThresholdSegmentationLevelSetImageFilter.h.

◆ ValueType

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

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

Constructor & Destructor Documentation

◆ ~ThresholdSegmentationLevelSetImageFilter()

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

itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~ThresholdSegmentationLevelSetImageFilter ( )

overrideprotecteddefault

◆ ThresholdSegmentationLevelSetImageFilter()

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

itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ThresholdSegmentationLevelSetImageFilter ( )

protected

Referenced by GetNameOfClass().

Member Function Documentation

◆ CreateAnother()

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

virtual::itk::LightObject::Pointer itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CreateAnother ( ) 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::SparseFieldLevelSetImageFilter< TInputImage, Image< float, TInputImage::ImageDimension > >.

◆ GetEdgeWeight()

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

ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetEdgeWeight ( ) const

inline

Set/Get the weight applied to the edge (Laplacian) attractor in the speed term function. Zero will turn this term off.

Definition at line 152 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction.

◆ GetLowerThreshold()

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

ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetLowerThreshold ( ) const

inline

Get/Set the threshold values that will be used to calculate the speed function.

Definition at line 135 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction.

◆ GetNameOfClass()

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

const char * itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetNameOfClass ( ) const

overridevirtual

See also: LightObject::GetNameOfClass()

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

References ThresholdSegmentationLevelSetImageFilter().

◆ GetSmoothingConductance()

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

ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSmoothingConductance ( ) const

inline

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the smoothing conductance.

Definition at line 206 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction.

◆ GetSmoothingIterations()

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

int itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSmoothingIterations ( ) const

inline

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the number of diffusion iterations.

Definition at line 170 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction.

◆ GetSmoothingTimeStep()

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

ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSmoothingTimeStep ( ) const

inline

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the diffusion time step.

Definition at line 188 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction.

◆ GetUpperThreshold()

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

ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUpperThreshold ( ) const

inline

Get/Set the threshold values that will be used to calculate the speed function.

Definition at line 129 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction.

◆ New()

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

static Pointer itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::New ( )

static

Method for creation through the object factory

◆ PrintSelf()

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

void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::PrintSelf	(	std::ostream &	os,
		Indent	indent ) const

overrideprotectedvirtual

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

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

◆ SetEdgeWeight()

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

void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetEdgeWeight ( ValueType v )

inline

Set/Get the weight applied to the edge (Laplacian) attractor in the speed term function. Zero will turn this term off.

Definition at line 145 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction, and itk::Object::Modified().

◆ SetLowerThreshold()

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

void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetLowerThreshold ( ValueType v )

inline

Get/Set the threshold values that will be used to calculate the speed function.

Definition at line 122 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction, and itk::Object::Modified().

◆ SetSmoothingConductance()

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

void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingConductance ( ValueType v )

inline

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the smoothing conductance.

Definition at line 199 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction, and itk::Object::Modified().

◆ SetSmoothingIterations()

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

void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingIterations ( int v )

inline

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the number of diffusion iterations.

Definition at line 163 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction, and itk::Object::Modified().

◆ SetSmoothingTimeStep()

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

void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingTimeStep ( ValueType v )

inline

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the diffusion time step.

Definition at line 181 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction, and itk::Object::Modified().

◆ SetUpperThreshold()

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

void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUpperThreshold ( ValueType v )

inline

Get/Set the threshold values that will be used to calculate the speed function.

Definition at line 115 of file itkThresholdSegmentationLevelSetImageFilter.h.

References m_ThresholdFunction, and itk::Object::Modified().

Member Data Documentation

◆ m_ThresholdFunction

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

ThresholdFunctionPointer itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_ThresholdFunction {}

private

Definition at line 220 of file itkThresholdSegmentationLevelSetImageFilter.h.

Referenced by GetEdgeWeight(), GetLowerThreshold(), GetSmoothingConductance(), GetSmoothingIterations(), GetSmoothingTimeStep(), GetUpperThreshold(), SetEdgeWeight(), SetLowerThreshold(), SetSmoothingConductance(), SetSmoothingIterations(), SetSmoothingTimeStep(), and SetUpperThreshold().

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

itkThresholdSegmentationLevelSetImageFilter.h

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ FeatureImageType

◆ OutputImageType

◆ Pointer

◆ Self

◆ Superclass

◆ ThresholdFunctionPointer

◆ ThresholdFunctionType

◆ ValueType

Constructor & Destructor Documentation

◆ ~ThresholdSegmentationLevelSetImageFilter()

◆ ThresholdSegmentationLevelSetImageFilter()

Member Function Documentation

◆ CreateAnother()

◆ GetEdgeWeight()

◆ GetLowerThreshold()

◆ GetNameOfClass()

◆ GetSmoothingConductance()

◆ GetSmoothingIterations()

◆ GetSmoothingTimeStep()

◆ GetUpperThreshold()

◆ New()

◆ PrintSelf()

◆ SetEdgeWeight()

◆ SetLowerThreshold()

◆ SetSmoothingConductance()

◆ SetSmoothingIterations()

◆ SetSmoothingTimeStep()

◆ SetUpperThreshold()

Member Data Documentation

◆ m_ThresholdFunction