#include <itkSegmentationLevelSetImageFilter.h>

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

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

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

Public Member Functions
void	GenerateAdvectionImage ()
void	GenerateSpeedImage ()
virtual const VectorImageType *	GetAdvectionImage () const
ValueType	GetAdvectionScaling () const
ValueType	GetCurvatureScaling () const
virtual FeatureImageType *	GetFeatureImage ()
double	GetMaximumCurvatureTimeStep () const
unsigned int	GetMaximumIterations ()
double	GetMaximumPropagationTimeStep () const
virtual const char *	GetNameOfClass () const
ValueType	GetPropagationScaling () const
virtual SegmentationFunctionType *	GetSegmentationFunction ()
virtual const SpeedImageType *	GetSpeedImage () const
bool	GetUseMinimalCurvature () const
bool	GetUseNegativeFeatures () const
void	SetAdvectionImage (VectorImageType *v)
virtual void	SetInitialImage (InputImageType *f)
void	SetInput2 (const FeatureImageType *input)
virtual void	SetSegmentationFunction (SegmentationFunctionType *s)
void	SetSpeedImage (SpeedImageType *s)
void	SetUseNegativeFeaturesOff ()
	typedef (Concept::HasNumericTraits< TOutputPixelType >) OutputHasNumericTraitsCheck
void	UseMinimalCurvatureOff ()
void	UseMinimalCurvatureOn ()

void	SetMaximumIterations (unsigned int i)

virtual void	SetFeatureImage (const FeatureImageType *f)

void	SetUseNegativeFeaturesOn ()

void	SetUseNegativeFeatures (bool u)

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

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

void	SetFeatureScaling (ValueType v)

void	SetPropagationScaling (ValueType v)

void	SetAdvectionScaling (ValueType v)

void	SetCurvatureScaling (ValueType v)

void	SetUseMinimalCurvature (bool b)

void	SetMaximumCurvatureTimeStep (double n)

void	SetMaximumPropagationTimeStep (double n)
Public Member Functions inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
	typedef (Concept::EqualityComparable< typename Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension >::PixelType >) OutputEqualityComparableCheck
	typedef (Concept::Convertible< double, typename Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension >::PixelType >) DoubleConvertibleToOutputCheck
	typedef (Concept::OStreamWritable< typename Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension >::PixelType >) OutputOStreamWritableCheck
virtual void	SetNumberOfLayers (unsigned int _arg)
virtual unsigned int	GetNumberOfLayers () const
virtual void	SetIsoSurfaceValue (ValueType _arg)
virtual ValueType	GetIsoSurfaceValue () const
virtual void	SetInterpolateSurfaceLocation (bool _arg)
virtual bool	GetInterpolateSurfaceLocation () const
void	InterpolateSurfaceLocationOn ()
void	InterpolateSurfaceLocationOff ()
Public Member Functions inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
virtual const FiniteDifferenceFunctionType::Pointer &	GetDifferenceFunction () const
virtual const IdentifierType &	GetElapsedIterations ()
virtual bool	GetIsInitialized ()
virtual void	SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)
virtual void	SetIsInitialized (bool _arg)
void	SetStateToInitialized ()
void	SetStateToUninitialized ()
virtual void	SetNumberOfIterations (IdentifierType _arg)
virtual const IdentifierType &	GetNumberOfIterations ()
virtual void	SetUseImageSpacing (bool _arg)
virtual void	UseImageSpacingOn ()
virtual void	UseImageSpacingOff ()
virtual const bool &	GetUseImageSpacing ()
virtual void	SetMaximumRMSError (double _arg)
virtual const double &	GetMaximumRMSError ()
virtual void	SetRMSChange (double _arg)
virtual const double &	GetRMSChange ()
virtual void	SetManualReinitialization (bool _arg)
virtual const bool &	GetManualReinitialization ()
virtual void	ManualReinitializationOn ()
virtual void	ManualReinitializationOff ()
Public Member Functions inherited from itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
virtual bool	CanRunInPlace () const
virtual void	SetInPlace (bool _arg)
virtual bool	GetInPlace () const
virtual void	InPlaceOn ()
virtual void	InPlaceOff ()
Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
const InputImageType *	GetInput (void) const
const InputImageType *	GetInput (unsigned int idx) const
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
virtual void	SetInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputImage *image)
Public Member Functions inherited from itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput (void)
const OutputImageType *	GetOutput (void) const
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData ()
NameArray	GetInputNames () const
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
virtual const float &	GetProgress ()
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)
virtual void	PrepareOutputs ()
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Protected Member Functions
void	GenerateData ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	SegmentationLevelSetImageFilter ()
virtual	~SegmentationLevelSetImageFilter ()

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

Protected Attributes
bool	m_ReverseExpansionDirection
Protected Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
double	m_ConstantGradientValue
ValueType	m_IsoSurfaceValue
LayerNodeStorageType::Pointer	m_LayerNodeStore
LayerListType	m_Layers
SparseFieldCityBlockNeighborList < NeighborhoodIterator < OutputImageType > >	m_NeighborList
unsigned int	m_NumberOfLayers
OutputImageType::Pointer	m_ShiftedImage
StatusImageType::Pointer	m_StatusImage
UpdateBufferType	m_UpdateBuffer
bool	m_InterpolateSurfaceLocation
Protected Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
IdentifierType	m_ElapsedIterations
bool	m_IsInitialized
bool	m_ManualReinitialization
double	m_MaximumRMSError
IdentifierType	m_NumberOfIterations
double	m_RMSChange

Private Attributes
SegmentationFunctionType *	m_SegmentationFunction
bool	m_AutoGenerateSpeedAdvection
	SegmentationLevelSetImageFilter (const Self &)
void	operator= (const Self &)

Additional Inherited Members
Static Public Member Functions inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
static Pointer	New ()
Static Public Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
static const unsigned int	ImageDimension
Static Public Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
static const unsigned int	InputImageDimension
static const unsigned int	OutputImageDimension
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
Static Public Attributes inherited from itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
Static Protected Attributes inherited from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< 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

Detailed Description

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

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

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

TEMPLATE PARAMETERS: There are two required and one optional template parameter for these filters.

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

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

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

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

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

: Depending on the particular application and filter that you are using, the feature image should be preprocessed with some type of noise reduction filtering. The feature image input can be of any type, but it will be cast to floating point before calculations are done.

OUTPUTS: The output of any subclass of this filter is a level set embedding as described in SparseFieldLevelSetImageFilter. The zero crossings of the output image give the pixels closest to the level set boundary. By ITK convention, NEGATIVE values are pixels INSIDE the segmented region and POSITIVE values are pixels OUTSIDE the segmented region.

PARAMETERS: The MaximumRMSChange parameter is used to determine when the solution has converged. A lower value will result in a tighter-fitting solution, but will require more computations. Too low a value could put the solver into an infinite loop unless a reasonable NumberOfIterations parameter is set. Values should always be greater than 0.0 and less than 1.0.

: The NumberOfIterations parameter can be used to halt the solution after a specified number of iterations, overriding the MaximumRMSChange halting criteria.

: The standard convention for ITK level-set segmentation filters is that POSITIVE propagation (speed) and advection terms cause the surface to EXPAND while negative terms cause the surface to CONTRACT. When the ReverseExpansionDirection parameter is set to TRUE (on), it tells the function object to reverse the standard ITK convention so that NEGATIVE terms cause EXPANSION and positive terms cause CONTRACTION.

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

: The FeatureScaling parameter controls the magnitude of the features calculated for use in the level set propagation and advection speeds. This value simply sets both parameters to equal values at once. Some filters may only use on of these two terms and this method is a generic way to set either or both without having to know which is in use.

: The CurvatureScaling parameter controls the magnitude of the curvature values which are calculated on the evolving isophote. This is important in controlling the relative effect of curvature in the calculation. Default value is 1.0. Higher values relative to the other level set equation terms (propagation and advection) will give a smoother result.

: The PropagationScaling parameter controls the scaling of the scalar propagation (speed) term relative to other terms in the level set equation. Setting this value will override any value already set by FeatureScaling.

: The AdvectionScaling parameter controls the scaling of the vector advection field term relative to other terms in the level set equation. Setting this value will override any value already set by FeatureScaling.

Warning:: This is an abstract class. It is not intended to be instantiated by itself. Instead, you should use the derived classes. This is the reason why the New() operator (itkNewMacro) is missing from the class API.

: See LevelSetFunction for more information.

Definition at line 145 of file itkSegmentationLevelSetImageFilter.h.

Member Typedef Documentation

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

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

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 162 of file itkSegmentationLevelSetImageFilter.h.

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

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

Local image typedefs

Definition at line 171 of file itkSegmentationLevelSetImageFilter.h.

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

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

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 166 of file itkSegmentationLevelSetImageFilter.h.

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

typedef Superclass::InputImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InputImageType

Information derived from the image types.

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 168 of file itkSegmentationLevelSetImageFilter.h.

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

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

Output image type typedefs

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 157 of file itkSegmentationLevelSetImageFilter.h.

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

typedef SmartPointer< Self > itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 161 of file itkSegmentationLevelSetImageFilter.h.

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

typedef SegmentationLevelSetFunction< OutputImageType, FeatureImageType > itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SegmentationFunctionType

The generic level set function type

Definition at line 175 of file itkSegmentationLevelSetImageFilter.h.

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

typedef SegmentationLevelSetImageFilter itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self

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

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 152 of file itkSegmentationLevelSetImageFilter.h.

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

typedef SegmentationFunctionType::ImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SpeedImageType

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 179 of file itkSegmentationLevelSetImageFilter.h.

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

typedef SparseFieldLevelSetImageFilter< TInputImage, OutputImageType > itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass

Standard class typedefs

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 160 of file itkSegmentationLevelSetImageFilter.h.

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

typedef Superclass::TimeStepType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::TimeStepType

Typedefs from the superclass

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 167 of file itkSegmentationLevelSetImageFilter.h.

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

typedef Superclass::ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType

Inherited typedef from the superclass.

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 165 of file itkSegmentationLevelSetImageFilter.h.

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

typedef SegmentationFunctionType::VectorImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::VectorImageType

The type used for the advection field

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 178 of file itkSegmentationLevelSetImageFilter.h.

Constructor & Destructor Documentation

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

virtual itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~SegmentationLevelSetImageFilter ( )

inlineprotectedvirtual

End concept checking

Definition at line 488 of file itkSegmentationLevelSetImageFilter.h.

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

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

protected

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

itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SegmentationLevelSetImageFilter ( const Self & )

private

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

Member Function Documentation

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOff ( )

virtual

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

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOn ( )

virtual

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

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateAdvectionImage ( )

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

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateData ( )

protectedvirtual

Overridden from ProcessObject to set certain values before starting the finite difference solver and then create an appropriate output

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Reimplemented in itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateSpeedImage ( )

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

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

virtual const VectorImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionImage ( ) const

inlinevirtual

Return a pointer to the image sampled as the advection term of the segmentation algorithm.

Definition at line 243 of file itkSegmentationLevelSetImageFilter.h.

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

ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionScaling ( ) const

inline

Definition at line 362 of file itkSegmentationLevelSetImageFilter.h.

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

virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAutoGenerateSpeedAdvection ( ) const

virtual

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

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

ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetCurvatureScaling ( ) const

inline

Definition at line 381 of file itkSegmentationLevelSetImageFilter.h.

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

virtual FeatureImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetFeatureImage ( )

inlinevirtual

Definition at line 208 of file itkSegmentationLevelSetImageFilter.h.

References itk::ProcessObject::GetInput().

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

double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumCurvatureTimeStep ( ) const

inline

Definition at line 446 of file itkSegmentationLevelSetImageFilter.h.

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

unsigned int itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumIterations ( )

inline

Definition at line 193 of file itkSegmentationLevelSetImageFilter.h.

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

double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumPropagationTimeStep ( ) const

inline

Definition at line 465 of file itkSegmentationLevelSetImageFilter.h.

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

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

virtual

Run-time type information (and related methods).

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

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

ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetPropagationScaling ( ) const

inline

Definition at line 345 of file itkSegmentationLevelSetImageFilter.h.

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

virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetReverseExpansionDirection ( ) const

virtual

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

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

virtual SegmentationFunctionType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSegmentationFunction ( )

inlinevirtual

Definition at line 429 of file itkSegmentationLevelSetImageFilter.h.

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

virtual const SpeedImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSpeedImage ( ) const

inlinevirtual

Return a pointer to the image sampled as the speed term of the segmentation algorithm.

Definition at line 238 of file itkSegmentationLevelSetImageFilter.h.

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

bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseMinimalCurvature ( ) const

inline

Definition at line 397 of file itkSegmentationLevelSetImageFilter.h.

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

bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseNegativeFeatures ( ) const

inline

Definition at line 280 of file itkSegmentationLevelSetImageFilter.h.

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InitializeIteration ( )

inlineprotectedvirtual

Overrides parent implementation

Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

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

Definition at line 494 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::operator= ( const Self & )

private

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

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

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

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

protectedvirtual

End concept checking

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOff ( )

virtual

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

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOn ( )

virtual

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

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionImage ( VectorImageType * v )

inline

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

Definition at line 233 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling ( ValueType v )

inline

Set/Get the scaling of the advection field. Setting the FeatureScaling parameter will override any existing value for AdvectionScaling.

Definition at line 352 of file itkSegmentationLevelSetImageFilter.h.

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAutoGenerateSpeedAdvection ( bool _arg )

virtual

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

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCurvatureScaling ( ValueType v )

inline

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

Definition at line 371 of file itkSegmentationLevelSetImageFilter.h.

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage ( const FeatureImageType * f )

inlinevirtual

Set/Get the feature image to be used for speed function of the level set equation. Equivalent to calling Set/GetInput(1, ..)

Definition at line 201 of file itkSegmentationLevelSetImageFilter.h.

References itk::ProcessObject::SetNthInput().

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureScaling ( ValueType v )

inline

Combined scaling of the propagation and advection speed terms. You should use either this -or- Get/SetPropagationScaling and Get/SetAdvectionScaling (if appropriate). See subclasses for details on when and whether to set these parameters.

Definition at line 320 of file itkSegmentationLevelSetImageFilter.h.

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetInitialImage ( InputImageType * f )

inlinevirtual

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

Definition at line 213 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetInput2 ( const FeatureImageType * input )

inline

Set the feature image

Definition at line 219 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumCurvatureTimeStep ( double n )

inline

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

Definition at line 436 of file itkSegmentationLevelSetImageFilter.h.

References itk::LevelSetFunction< TImageType >::SetMaximumCurvatureTimeStep().

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumIterations ( unsigned int i )

inline

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

Definition at line 186 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumPropagationTimeStep ( double n )

inline

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

Definition at line 455 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetPropagationScaling ( ValueType v )

inline

Set/Get the scaling of the propagation speed. Setting the FeatureScaling parameter overrides any previous values set for PropagationScaling.

Definition at line 335 of file itkSegmentationLevelSetImageFilter.h.

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetReverseExpansionDirection ( bool _arg )

virtual

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

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

virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSegmentationFunction ( SegmentationFunctionType * s )

inlinevirtual

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

Definition at line 417 of file itkSegmentationLevelSetImageFilter.h.

References itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >::Initialize().

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSpeedImage ( SpeedImageType * s )

inline

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

Definition at line 227 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseMinimalCurvature ( bool b )

inline

Definition at line 387 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeatures ( bool u )

inline

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

Definition at line 266 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOff ( )

inline

Definition at line 257 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOn ( )

inline

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

Definition at line 249 of file itkSegmentationLevelSetImageFilter.h.

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

itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::typedef ( Concept::HasNumericTraits< TOutputPixelType > )

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

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOff ( )

inline

Definition at line 407 of file itkSegmentationLevelSetImageFilter.h.

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

void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOn ( )

inline

Definition at line 402 of file itkSegmentationLevelSetImageFilter.h.

Member Data Documentation

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

bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_AutoGenerateSpeedAdvection

protected

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

Definition at line 515 of file itkSegmentationLevelSetImageFilter.h.

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

bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_ReverseExpansionDirection

protected

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

Definition at line 509 of file itkSegmentationLevelSetImageFilter.h.

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

SegmentationFunctionType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_SegmentationFunction

private

Definition at line 521 of file itkSegmentationLevelSetImageFilter.h.

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

itkSegmentationLevelSetImageFilter.h

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Private Attributes

Additional Inherited Members

Detailed Description

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

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

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