ITK  5.0.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Protected Attributes | List of all members
itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType > Class Template Reference

#include <itkThresholdSegmentationLevelSetFunction.h>

+ Inheritance diagram for itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >:
+ Collaboration diagram for itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >:

Detailed Description

template<typename TImageType, typename TFeatureImageType = TImageType>
class itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >

This function is used in ThresholdSegmentationLevelSetImageFilter to segment structures in images based on intensity values.

SegmentationLevelSetFunction is a subclass of the generic LevelSetFunction.
It is 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.

You may optionally add a Laplacian calculation on the image to the threshold-based speed term by setting the EdgeWeight parameter to a non-zero value. The Laplacian term will cause the evolving surface to be more strongly attracted to image edges. Several parameters control a preprocessing FeatureImage smoothing stage applied only to the Laplacian calculation.

Image $ f $ is thresholded pixel by pixel using upper threshold $ U $ and lower threshold $ L $ according to the following formula.
$ f(x) = \left\{ \begin{array}{ll} g(x) - L & \mbox{if $(g)x < (U-L)/2 + L$} \\ U - g(x) & \mbox{otherwise} \end{array} \right. $
See Also
SegmentationLevelSetImageFunction
ThresholdSegmentationLevelSetImageFilter

Definition at line 56 of file itkThresholdSegmentationLevelSetFunction.h.

Public Types

using ConstPointer = SmartPointer< const Self >
 
using FeatureImageType = TFeatureImageType
 
using FeatureScalarType = typename Superclass::FeatureScalarType
 
using ImageType = typename Superclass::ImageType
 
using Pointer = SmartPointer< Self >
 
using RadiusType = typename Superclass::RadiusType
 
using ScalarValueType = typename Superclass::ScalarValueType
 
using Self = ThresholdSegmentationLevelSetFunction
 
using Superclass = SegmentationLevelSetFunction< TImageType, TFeatureImageType >
 
- Public Types inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
using ConstPointer = SmartPointer< const Self >
 
using ContinuousIndexType = typename InterpolatorType::ContinuousIndexType
 
using FeatureImageType = TFeatureImageType
 
using FeatureScalarType = typename FeatureImageType::PixelType
 
using FloatOffsetType = typename Superclass::FloatOffsetType
 
using GlobalDataStruct = typename Superclass::GlobalDataStruct
 
using ImageType = typename Superclass::ImageType
 
using IndexType = typename ImageType::IndexType
 
using InterpolatorType = LinearInterpolateImageFunction< ImageType >
 
using NeighborhoodType = typename Superclass::NeighborhoodType
 
using PixelRealType = typename Superclass::PixelRealType
 
using Pointer = SmartPointer< Self >
 
using RadiusType = typename Superclass::RadiusType
 
using ScalarValueType = typename Superclass::ScalarValueType
 
using Self = SegmentationLevelSetFunction
 
using Superclass = LevelSetFunction< TImageType >
 
using VectorImageType = Image< VectorType, Self::ImageDimension >
 
using VectorInterpolatorType = VectorLinearInterpolateImageFunction< VectorImageType >
 
using VectorType = typename Superclass::VectorType
 
- Public Types inherited from itk::LevelSetFunction< TImageType >
using ConstPointer = SmartPointer< const Self >
 
using FloatOffsetType = typename Superclass::FloatOffsetType
 
using ImageType = typename Superclass::ImageType
 
using NeighborhoodScalesType = typename Superclass::NeighborhoodScalesType
 
using NeighborhoodType = typename Superclass::NeighborhoodType
 
using PixelRealType = typename Superclass::PixelRealType
 
using PixelType = typename Superclass::PixelType
 
using Pointer = SmartPointer< Self >
 
using RadiusType = typename Superclass::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
 
ScalarValueType GetEdgeWeight () const
 
virtual const char * GetNameOfClass () const
 
ScalarValueType GetSmoothingConductance () const
 
int GetSmoothingIterations () const
 
ScalarValueType GetSmoothingTimeStep () const
 
void Initialize (const RadiusType &r) override
 
void SetEdgeWeight (const ScalarValueType p)
 
void SetSmoothingConductance (const ScalarValueType p)
 
void SetSmoothingIterations (const int p)
 
void SetSmoothingTimeStep (const ScalarValueType i)
 
void SetUpperThreshold (FeatureScalarType f)
 
FeatureScalarType GetUpperThreshold () const
 
void SetLowerThreshold (FeatureScalarType f)
 
FeatureScalarType GetLowerThreshold () const
 
- Public Member Functions inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
virtual void AllocateAdvectionImage ()
 
virtual void AllocateSpeedImage ()
 
virtual void CalculateAdvectionImage ()
 
virtual void ReverseExpansionDirection ()
 
virtual const FeatureImageTypeGetFeatureImage () const
 
virtual void SetFeatureImage (const FeatureImageType *f)
 
virtual ImageTypeGetSpeedImage ()
 
void SetSpeedImage (ImageType *s)
 
virtual VectorImageTypeGetAdvectionImage () const
 
void SetAdvectionImage (VectorImageType *s)
 
- Public Member Functions inherited from itk::LevelSetFunction< TImageType >
virtual VectorType AdvectionField (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *=0) const
 
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 &neighborhood, 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
 
virtual ScalarValueType PropagationSpeed (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 RadiusTypeGetRadius () const
 
void GetScaleCoefficients (PixelRealType vals[ImageDimension]) const
 
virtual void InitializeIteration ()
 
void SetRadius (const RadiusType &r)
 
void SetScaleCoefficients (PixelRealType vals[ImageDimension])
 
- 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
 
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 Public Attributes inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
static constexpr unsigned int ImageDimension = Superclass::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
 
 ThresholdSegmentationLevelSetFunction ()
 
 ~ThresholdSegmentationLevelSetFunction () override=default
 
- Protected Member Functions inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
VectorType AdvectionField (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd) const override
 
ScalarValueType PropagationSpeed (const NeighborhoodType &, const FloatOffsetType &, GlobalDataStruct *gd) const override
 
 SegmentationLevelSetFunction ()
 
 ~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

ScalarValueType m_EdgeWeight
 
FeatureScalarType m_LowerThreshold
 
ScalarValueType m_SmoothingConductance
 
int m_SmoothingIterations
 
ScalarValueType m_SmoothingTimeStep
 
FeatureScalarType m_UpperThreshold
 
- Protected Attributes inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >
VectorImageType::Pointer m_AdvectionImage
 
FeatureImageType::ConstPointer m_FeatureImage
 
InterpolatorType::Pointer m_Interpolator
 
ImageType::Pointer m_SpeedImage
 
Functor::VectorCast< typename
VectorInterpolatorType::OutputType,
VectorType
m_VectorCast
 
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

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ConstPointer = SmartPointer< const Self >

Definition at line 67 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureImageType = TFeatureImageType

Definition at line 68 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureScalarType = typename Superclass::FeatureScalarType

Definition at line 79 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ImageType = typename Superclass::ImageType

Extract some parameters from the superclass.

Definition at line 77 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Pointer = SmartPointer< Self >

Definition at line 66 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::RadiusType = typename Superclass::RadiusType

Definition at line 80 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ScalarValueType = typename Superclass::ScalarValueType

Definition at line 78 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Self = ThresholdSegmentationLevelSetFunction

Standard class type aliases.

Definition at line 63 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
using itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Superclass = SegmentationLevelSetFunction< TImageType, TFeatureImageType >

Definition at line 65 of file itkThresholdSegmentationLevelSetFunction.h.

Constructor & Destructor Documentation

template<typename TImageType , typename TFeatureImageType = TImageType>
itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ThresholdSegmentationLevelSetFunction ( )
inlineprotected

Definition at line 159 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::~ThresholdSegmentationLevelSetFunction ( )
overrideprotecteddefault

Member Function Documentation

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< 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 >.

template<typename TImageType , typename TFeatureImageType = TImageType>
virtual::itk::LightObject::Pointer itk::ThresholdSegmentationLevelSetFunction< 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 >.

template<typename TImageType , typename TFeatureImageType = TImageType>
ScalarValueType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetEdgeWeight ( ) const
inline

Definition at line 114 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
FeatureScalarType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetLowerThreshold ( ) const
inline

Set/Get threshold values

Definition at line 92 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
virtual const char* itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods)

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

template<typename TImageType , typename TFeatureImageType = TImageType>
ScalarValueType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetSmoothingConductance ( ) const
inline

Definition at line 127 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
int itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetSmoothingIterations ( ) const
inline

Definition at line 140 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
ScalarValueType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetSmoothingTimeStep ( ) const
inline

Definition at line 153 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
FeatureScalarType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetUpperThreshold ( ) const
inline

Set/Get threshold values

Definition at line 88 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< 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 98 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
static Pointer itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::New ( )
static

Method for creation through the object factory.

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< 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 174 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetEdgeWeight ( const ScalarValueType  p)
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 109 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetLowerThreshold ( FeatureScalarType  f)
inline

Set/Get threshold values

Definition at line 90 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetSmoothingConductance ( const ScalarValueType  p)
inline

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

Definition at line 122 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetSmoothingIterations ( const int  p)
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 135 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetSmoothingTimeStep ( const ScalarValueType  i)
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 148 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
void itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetUpperThreshold ( FeatureScalarType  f)
inline

Set/Get threshold values

Definition at line 86 of file itkThresholdSegmentationLevelSetFunction.h.

Member Data Documentation

template<typename TImageType , typename TFeatureImageType = TImageType>
constexpr unsigned int itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ImageDimension = Superclass::ImageDimension
static

Extract some parameters from the superclass.

Definition at line 83 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
ScalarValueType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_EdgeWeight
protected

Definition at line 187 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
FeatureScalarType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_LowerThreshold
protected

Definition at line 186 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
ScalarValueType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_SmoothingConductance
protected

Definition at line 188 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
int itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_SmoothingIterations
protected

Definition at line 189 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
ScalarValueType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_SmoothingTimeStep
protected

Definition at line 190 of file itkThresholdSegmentationLevelSetFunction.h.

template<typename TImageType , typename TFeatureImageType = TImageType>
FeatureScalarType itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_UpperThreshold
protected

Definition at line 185 of file itkThresholdSegmentationLevelSetFunction.h.


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