#include <itkVectorThresholdSegmentationLevelSetFunction.h>

Detailed Description

template<typename TImageType, typename TFeatureImageType>
class itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >

This function is used in VectorThresholdSegmentationLevelSetImageFilter to segment structures in images based on the Mahalanobis distance.

CREDITS: This class was contributed to ITK by Stefan Lindenau https://www.itk.org/pipermail/insight-users/2003-December/005969.html

SegmentationLevelSetFunction is a subclass of the generic LevelSetFunction.: It useful for segmentations based on intensity values in an image. It works by constructing a speed term (feature image) with positive values inside an intensity window (between a low and high threshold) and negative values outside that intensity window. The evolving level set front will lock onto regions that are at the edges of the intensity window.

: Image \( f(x) \) is thresholded pixel by pixel using threshold \(T\) according to the following formula.

: \[ f(x) = T - MahalanobisDistance(x) \]

See also: SegmentationLevelSetImageFunction; ThresholdSegmentationLevelSetImageFilter; MahalanobisDistanceMembershipFunction

Definition at line 58 of file itkVectorThresholdSegmentationLevelSetFunction.h.

Inheritance diagram for itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >:

Collaboration diagram for itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >:

Public Types
using	ConstPointer = SmartPointer<const Self>

using	CovarianceMatrixType = typename MahalanobisFunctionType::CovarianceMatrixType

using	FeatureImagePixelType = typename FeatureImageType::PixelType

using	FeatureImageType = TFeatureImageType

using	FeatureScalarType

typedef TImageType	ImageType

using	MahalanobisFunctionPointer = typename MahalanobisFunctionType::Pointer

using	MahalanobisFunctionType = Statistics::MahalanobisDistanceMembershipFunction<FeatureScalarType>

using	MeanVectorType = typename MahalanobisFunctionType::MeanVectorType

using	Pointer = SmartPointer<Self>

typedef typename ConstNeighborhoodIterator< TImageType >::RadiusType	RadiusType

typedef PixelType	ScalarValueType

using	Self = VectorThresholdSegmentationLevelSetFunction

using	Superclass = SegmentationLevelSetFunction<TImageType, TFeatureImageType>

Public Types inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
using	ConstPointer

using	ConstPointer

using	ContinuousIndexType

using	ContinuousIndexType

using	FeatureImageType

using	FeatureImageType

using	FeatureScalarType

using	FeatureScalarType

typedef Vector< float, Self::ImageDimension >	FloatOffsetType

using	FloatOffsetType

typedef TImageType	ImageType

using	ImageType

using	IndexType

using	IndexType

using	InterpolatorType

using	InterpolatorType

typedef ConstNeighborhoodIterator< TImageType, DefaultBoundaryConditionType >	NeighborhoodType

using	NeighborhoodType

typedef double	PixelRealType

using	PixelRealType

using	Pointer

using	Pointer

typedef typename ConstNeighborhoodIterator< TImageType >::RadiusType	RadiusType

using	RadiusType

typedef PixelType	ScalarValueType

using	ScalarValueType

using	Self

using	Self

using	Superclass

using	Superclass

using	VectorImageType

using	VectorImageType

using	VectorInterpolatorType

using	VectorInterpolatorType

typedef FixedArray< ScalarValueType, Self::ImageDimension >	VectorType

using	VectorType

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

using	FloatOffsetType

using	ImageType

using	NeighborhoodScalesType

using	NeighborhoodType

using	PixelRealType

using	PixelType

using	Pointer = SmartPointer<Self>

using	RadiusType

using	ScalarValueType = PixelType

using	Self = LevelSetFunction

using	Superclass = FiniteDifferenceFunction<TImageType>

using	TimeStepType = double

using	VectorType = FixedArray<ScalarValueType, Self::ImageDimension>

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

using	DefaultBoundaryConditionType = ZeroFluxNeumannBoundaryCondition<ImageType>

using	FloatOffsetType = Vector<float, Self::ImageDimension>

using	ImageType = TImageType

using	NeighborhoodScalesType = Vector<PixelRealType, Self::ImageDimension>

using	NeighborhoodType = ConstNeighborhoodIterator<TImageType, DefaultBoundaryConditionType>

using	PixelRealType = double

using	PixelType = typename ImageType::PixelType

using	Pointer = SmartPointer<Self>

using	RadiusType = typename ConstNeighborhoodIterator<TImageType>::RadiusType

using	Self = FiniteDifferenceFunction

using	Superclass = LightObject

using	TimeStepType = double

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

using	Pointer = SmartPointer<Self>

using	Self = LightObject

Public Member Functions
void	CalculateSpeedImage () override

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

const CovarianceMatrixType &	GetCovariance () const

virtual const char *	GetNameOfClass () const

ScalarValueType	GetThreshold ()

void	Initialize (const RadiusType &r) override

void	SetCovariance (const CovarianceMatrixType &cov)

void	SetThreshold (ScalarValueType thr)


void	SetMean (const MeanVectorType &mean)

const MeanVectorType &	GetMean () const

Public Member Functions inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
virtual void	AllocateAdvectionImage ()

virtual void	AllocateAdvectionImage ()

virtual void	AllocateSpeedImage ()

virtual void	AllocateSpeedImage ()

virtual void	CalculateAdvectionImage ()

virtual void	CalculateAdvectionImage ()

virtual void	ReverseExpansionDirection ()

virtual void	ReverseExpansionDirection ()

virtual const FeatureImageType *	GetFeatureImage () const

virtual void	SetFeatureImage (const FeatureImageType *f)

virtual const FeatureImageType *	GetFeatureImage () const

virtual void	SetFeatureImage (const FeatureImageType *f)

virtual ImageType *	GetSpeedImage ()

void	SetSpeedImage (ImageType *s)

virtual ImageType *	GetSpeedImage ()

void	SetSpeedImage (ImageType *s)

virtual VectorImageType *	GetAdvectionImage () const

void	SetAdvectionImage (VectorImageType *s)

virtual VectorImageType *	GetAdvectionImage () const

void	SetAdvectionImage (VectorImageType *s)

Public Member Functions inherited from itk::LevelSetFunction< TImageType >
virtual ScalarValueType	Compute3DMinimalCurvature (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd=0)

virtual ScalarValueType	ComputeCurvatureTerm (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd=0)

TimeStepType	ComputeGlobalTimeStep (void *GlobalData) const override

virtual ScalarValueType	ComputeMeanCurvature (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd=0)

virtual ScalarValueType	ComputeMinimalCurvature (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd=0)

PixelType	ComputeUpdate (const NeighborhoodType &it, void *globalData, const FloatOffsetType &=FloatOffsetType(0.0)) override

virtual ScalarValueType	CurvatureSpeed (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *=nullptr) const

void *	GetGlobalDataPointer () const override

bool	GetUseMinimalCurvature () const

virtual ScalarValueType	LaplacianSmoothingSpeed (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *=0) const

void	ReleaseGlobalDataPointer (void *GlobalData) const override

void	SetUseMinimalCurvature (bool b)

void	UseMinimalCurvatureOff ()

void	UseMinimalCurvatureOn ()

virtual void	SetAdvectionWeight (const ScalarValueType a)

ScalarValueType	GetAdvectionWeight () const

virtual void	SetPropagationWeight (const ScalarValueType p)

ScalarValueType	GetPropagationWeight () const

virtual void	SetCurvatureWeight (const ScalarValueType c)

ScalarValueType	GetCurvatureWeight () const

void	SetLaplacianSmoothingWeight (const ScalarValueType c)

ScalarValueType	GetLaplacianSmoothingWeight () const

void	SetEpsilonMagnitude (const ScalarValueType e)

ScalarValueType	GetEpsilonMagnitude () const

Public Member Functions inherited from itk::FiniteDifferenceFunction< TImageType >
const NeighborhoodScalesType	ComputeNeighborhoodScales () const

const RadiusType &	GetRadius () const

void	GetScaleCoefficients (PixelRealType vals[ImageDimension]) const

virtual void	InitializeIteration ()

void	SetRadius (const RadiusType &r)

void	SetScaleCoefficients (const PixelRealType vals[ImageDimension])

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

virtual void	Register () const

virtual void	SetReferenceCount (int)

virtual void	UnRegister () const noexcept

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::LevelSetFunction< TImageType >
static double	GetMaximumCurvatureTimeStep ()

static double	GetMaximumPropagationTimeStep ()

static Pointer	New ()

static void	SetMaximumCurvatureTimeStep (double n)

static void	SetMaximumPropagationTimeStep (double n)

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

static Pointer	New ()

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

static constexpr unsigned int	NumberOfComponents = FeatureImagePixelType::Dimension

Static Public Attributes inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
static constexpr unsigned int	ImageDimension

static constexpr unsigned int	ImageDimension

Static Public Attributes inherited from itk::LevelSetFunction< TImageType >
static constexpr unsigned int	ImageDimension = Superclass::ImageDimension

Static Public Attributes inherited from itk::FiniteDifferenceFunction< TImageType >
static constexpr unsigned int	ImageDimension = ImageType::ImageDimension

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

	VectorThresholdSegmentationLevelSetFunction ()

	~VectorThresholdSegmentationLevelSetFunction () override=default

Protected Member Functions inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
VectorType	AdvectionField (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd) const override

VectorType	AdvectionField (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd) const override

ScalarValueType	PropagationSpeed (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd) const override

ScalarValueType	PropagationSpeed (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd) const override

	SegmentationLevelSetFunction ()

	SegmentationLevelSetFunction ()

	~SegmentationLevelSetFunction () override=default

	~SegmentationLevelSetFunction () override=default

Protected Member Functions inherited from itk::LevelSetFunction< TImageType >
	LevelSetFunction ()

	~LevelSetFunction () override=default

Protected Member Functions inherited from itk::FiniteDifferenceFunction< TImageType >
	FiniteDifferenceFunction ()

	~FiniteDifferenceFunction () override=default

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
MahalanobisFunctionPointer	m_Mahalanobis {}

ScalarValueType	m_Threshold {}

Protected Attributes inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
VectorImageType::Pointer	m_AdvectionImage

VectorImageType::Pointer	m_AdvectionImage

FeatureImageType::ConstPointer	m_FeatureImage

FeatureImageType::ConstPointer	m_FeatureImage

InterpolatorType::Pointer	m_Interpolator

InterpolatorType::Pointer	m_Interpolator

ImageType::Pointer	m_SpeedImage

ImageType::Pointer	m_SpeedImage

VectorInterpolatorType::Pointer	m_VectorInterpolator

VectorInterpolatorType::Pointer	m_VectorInterpolator

Protected Attributes inherited from itk::LevelSetFunction< TImageType >
ScalarValueType	m_AdvectionWeight {}

OffsetValueType	m_Center { 0 }

ScalarValueType	m_CurvatureWeight {}

ScalarValueType	m_EpsilonMagnitude {}

ScalarValueType	m_LaplacianSmoothingWeight {}

ScalarValueType	m_PropagationWeight {}

bool	m_UseMinimalCurvature { false }

OffsetValueType	m_xStride [Self::ImageDimension] {}

std::slice	x_slice [Self::ImageDimension]

Protected Attributes inherited from itk::FiniteDifferenceFunction< TImageType >
RadiusType	m_Radius {}

PixelRealType	m_ScaleCoefficients [ImageDimension] {}

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

Additional Inherited Members
Static Protected Member Functions inherited from itk::LevelSetFunction< TImageType >
static VectorType	InitializeZeroVectorConstant ()

Static Protected Attributes inherited from itk::LevelSetFunction< TImageType >
static double	m_DT

static double	m_WaveDT

static VectorType	m_ZeroVectorConstant

Member Typedef Documentation

◆ ConstPointer

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ConstPointer = SmartPointer<const Self>

Definition at line 68 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ CovarianceMatrixType

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CovarianceMatrixType = typename MahalanobisFunctionType::CovarianceMatrixType

Definition at line 93 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ FeatureImagePixelType

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureImagePixelType = typename FeatureImageType::PixelType

Extract the number of components in the vector pixel type .

Definition at line 87 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ FeatureImageType

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureImageType = TFeatureImageType

Definition at line 69 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ FeatureScalarType

template<typename TImageType, typename TFeatureImageType>

using itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureScalarType

Definition at line 69 of file itkSegmentationLevelSetFunction.h.

◆ ImageType

template<typename TImageType, typename TFeatureImageType>

Extract some parameters from the image type

◆ MahalanobisFunctionPointer

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MahalanobisFunctionPointer = typename MahalanobisFunctionType::Pointer

Definition at line 91 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ MahalanobisFunctionType

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MahalanobisFunctionType = Statistics::MahalanobisDistanceMembershipFunction<FeatureScalarType>

Definition at line 90 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ MeanVectorType

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MeanVectorType = typename MahalanobisFunctionType::MeanVectorType

Definition at line 92 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ Pointer

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Pointer = SmartPointer<Self>

Definition at line 67 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ RadiusType

template<typename TImageType, typename TFeatureImageType>

Neighborhood radius type

◆ ScalarValueType

template<typename TImageType, typename TFeatureImageType>

◆ Self

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Self = VectorThresholdSegmentationLevelSetFunction

Standard class type aliases.

Definition at line 65 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ Superclass

template<typename TImageType, typename TFeatureImageType>

using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Superclass = SegmentationLevelSetFunction<TImageType, TFeatureImageType>

Definition at line 66 of file itkVectorThresholdSegmentationLevelSetFunction.h.

Constructor & Destructor Documentation

◆ VectorThresholdSegmentationLevelSetFunction()

template<typename TImageType, typename TFeatureImageType>

itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::VectorThresholdSegmentationLevelSetFunction ( )

inlineprotected

Definition at line 146 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ ~VectorThresholdSegmentationLevelSetFunction()

template<typename TImageType, typename TFeatureImageType>

itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::~VectorThresholdSegmentationLevelSetFunction ( )

overrideprotecteddefault

Member Function Documentation

◆ CalculateSpeedImage()

template<typename TImageType, typename TFeatureImageType>

void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CalculateSpeedImage ( )

overridevirtual

This method must be defined in a subclass to implement a working function object. This method is called before the solver begins its work to produce the speed image used as the level set function's Propagation speed term. See LevelSetFunction for more information.

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

◆ CreateAnother()

template<typename TImageType, typename TFeatureImageType>

virtual::itk::LightObject::Pointer itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::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::LevelSetFunction< TImageType >.

◆ GetCovariance()

template<typename TImageType, typename TFeatureImageType>

const CovarianceMatrixType & itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetCovariance ( ) const

inline

Definition at line 114 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ GetMean()

template<typename TImageType, typename TFeatureImageType>

const MeanVectorType & itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetMean ( ) const

inline

Set/Get mean and covariance

Definition at line 103 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ GetNameOfClass()

template<typename TImageType, typename TFeatureImageType>

virtual const char * itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetNameOfClass ( ) const

virtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

◆ GetThreshold()

template<typename TImageType, typename TFeatureImageType>

ScalarValueType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetThreshold ( )

inline

Definition at line 127 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ Initialize()

template<typename TImageType, typename TFeatureImageType>

void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Initialize ( const RadiusType & r )

inlineoverridevirtual

This method creates the appropriate member variable operators for the level-set calculations. The argument to this function is a the radius necessary for performing the level-set calculations.

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

Definition at line 136 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ New()

template<typename TImageType, typename TFeatureImageType>

static Pointer itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::New ( )

static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TImageType, typename TFeatureImageType>

void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::PrintSelf	(	std::ostream &	os,
		Indent	indent ) const

inlineoverrideprotectedvirtual

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::LevelSetFunction< TImageType >.

Definition at line 165 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ SetCovariance()

template<typename TImageType, typename TFeatureImageType>

void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetCovariance ( const CovarianceMatrixType & cov )

inline

Definition at line 109 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ SetMean()

template<typename TImageType, typename TFeatureImageType>

void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetMean ( const MeanVectorType & mean )

inline

Set/Get mean and covariance

Definition at line 98 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ SetThreshold()

template<typename TImageType, typename TFeatureImageType>

void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetThreshold ( ScalarValueType thr )

inline

Set/Get the threshold value for the MahalanobisDistance

Definition at line 121 of file itkVectorThresholdSegmentationLevelSetFunction.h.

Member Data Documentation

◆ ImageDimension

template<typename TImageType, typename TFeatureImageType>

unsigned int itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ImageDimension = Superclass::ImageDimension

staticconstexpr

Extract some parameters from the superclass.

Definition at line 84 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ m_Mahalanobis

template<typename TImageType, typename TFeatureImageType>

MahalanobisFunctionPointer itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_Mahalanobis {}

protected

Definition at line 172 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ m_Threshold

template<typename TImageType, typename TFeatureImageType>

ScalarValueType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_Threshold {}

protected

Definition at line 173 of file itkVectorThresholdSegmentationLevelSetFunction.h.

◆ NumberOfComponents

template<typename TImageType, typename TFeatureImageType>

unsigned int itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::NumberOfComponents = FeatureImagePixelType::Dimension

staticconstexpr

Definition at line 88 of file itkVectorThresholdSegmentationLevelSetFunction.h.

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

itkVectorThresholdSegmentationLevelSetFunction.h

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Protected Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ CovarianceMatrixType

◆ FeatureImagePixelType

◆ FeatureImageType

◆ FeatureScalarType

◆ ImageType

◆ MahalanobisFunctionPointer

◆ MahalanobisFunctionType

◆ MeanVectorType

◆ Pointer

◆ RadiusType

◆ ScalarValueType

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ VectorThresholdSegmentationLevelSetFunction()

◆ ~VectorThresholdSegmentationLevelSetFunction()

Member Function Documentation

◆ CalculateSpeedImage()

◆ CreateAnother()

◆ GetCovariance()

◆ GetMean()

◆ GetNameOfClass()

◆ GetThreshold()

◆ Initialize()

◆ New()

◆ PrintSelf()

◆ SetCovariance()

◆ SetMean()

◆ SetThreshold()

Member Data Documentation

◆ ImageDimension

◆ m_Mahalanobis

◆ m_Threshold

◆ NumberOfComponents