#include <itkNormalVectorDiffusionFunction.h>

Inheritance diagram for itk::NormalVectorDiffusionFunction< TSparseImageType >:

Collaboration diagram for itk::NormalVectorDiffusionFunction< TSparseImageType >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	FloatOffsetType = typename Superclass::FloatOffsetType

using	IndexType = typename Superclass::IndexType

using	NeighborhoodScalesType = typename Superclass::NeighborhoodScalesType

using	NeighborhoodType = typename Superclass::NeighborhoodType

using	NodeType = typename Superclass::NodeType

using	NodeValueType = typename Superclass::NodeValueType

using	NormalVectorType = typename Superclass::NormalVectorType

using	Pointer = SmartPointer< Self >

using	RadiusType = typename Superclass::RadiusType

using	Self = NormalVectorDiffusionFunction

using	SparseImageType = typename Superclass::SparseImageType

using	Superclass = NormalVectorFunctionBase< TSparseImageType >

using	TimeStepType = typename Superclass::TimeStepType

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

using	FloatOffsetType = typename Superclass::FloatOffsetType

using	IndexType = typename Superclass::IndexType

using	NeighborhoodType = typename Superclass::NeighborhoodType

using	NodeType = typename SparseImageType::NodeType

using	NodeValueType = typename NodeType::NodeValueType

using	NormalVectorType = typename NodeType::NodeDataType

using	Pointer = SmartPointer< Self >

using	RadiusType = typename Superclass::RadiusType

using	Self = NormalVectorFunctionBase

using	SparseImageType = typename Superclass::SparseImageType

using	Superclass = FiniteDifferenceSparseImageFunction< TSparseImageType >

using	TimeStepType = typename Superclass::TimeStepType

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

using	FloatOffsetType = typename Superclass::FloatOffsetType

using	IndexType = typename SparseImageType::IndexType

using	NeighborhoodType = typename Superclass::NeighborhoodType

using	NodeDataType = typename NodeType::NodeDataType

using	NodeType = typename SparseImageType::NodeType

using	PixelType = typename Superclass::PixelType

using	Pointer = SmartPointer< Self >

using	RadiusType = typename Superclass::RadiusType

using	Self = FiniteDifferenceSparseImageFunction

using	SparseImageType = typename Superclass::ImageType

using	Superclass = FiniteDifferenceFunction< TSparseImageType >

using	TimeStepType = typename Superclass::TimeStepType

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

using	DefaultBoundaryConditionType = ZeroFluxNeumannBoundaryCondition< ImageType >

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

using	ImageType = TSparseImageType

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

using	NeighborhoodType = ConstNeighborhoodIterator< TSparseImageType, DefaultBoundaryConditionType >

using	PixelRealType = double

using	PixelType = typename ImageType::PixelType

using	Pointer = SmartPointer< Self >

using	RadiusType = typename ConstNeighborhoodIterator< TSparseImageType >::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
virtual ::itk::LightObject::Pointer	CreateAnother () const

virtual const char *	GetNameOfClass () const

int	GetNormalProcessType () const

void	SetNormalProcessType (int npt)

Public Member Functions inherited from itk::NormalVectorFunctionBase< TSparseImageType >
void *	GetGlobalDataPointer () const override

void	ReleaseGlobalDataPointer (void *) const override

TimeStepType	ComputeGlobalTimeStep (void *) const override

void	SetTimeStep (const TimeStepType &ts)

TimeStepType	GetTimeStep () const

Public Member Functions inherited from itk::FiniteDifferenceSparseImageFunction< TSparseImageType >
PixelType	ComputeUpdate (const NeighborhoodType &, void *, const FloatOffsetType &) override

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

virtual PixelType	ComputeUpdate (const NeighborhoodType &neighborhood, void *globalData, const FloatOffsetType &offset=FloatOffsetType(0.0))=0

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::LightObject
static void	BreakOnError ()

static Pointer	New ()

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

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

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

Static Public Attributes inherited from itk::FiniteDifferenceFunction< TSparseImageType >
static constexpr unsigned int	ImageDimension

NodeValueType	m_ConductanceParameter

NodeValueType	m_FluxStopConstant

int	m_NormalProcessType

void	SetConductanceParameter (NodeValueType cp)

NodeValueType	GetConductanceParameter () const

NodeValueType	GetFluxStopConstant () const

void	PrecomputeSparseUpdate (NeighborhoodType &it) const override

NormalVectorType	ComputeSparseUpdate (NeighborhoodType &it, void *globalData, const FloatOffsetType &offset) const override

	NormalVectorDiffusionFunction ()

	~NormalVectorDiffusionFunction () override=default

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

NodeValueType	FluxStopFunction (const NodeValueType v) const

Additional Inherited Members
Protected Member Functions inherited from itk::NormalVectorFunctionBase< TSparseImageType >
	NormalVectorFunctionBase ()

	~NormalVectorFunctionBase () override=default

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

Protected Member Functions inherited from itk::FiniteDifferenceSparseImageFunction< TSparseImageType >
	FiniteDifferenceSparseImageFunction ()=default

	~FiniteDifferenceSparseImageFunction () override=default

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

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

	~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 inherited from itk::FiniteDifferenceFunction< TSparseImageType >
RadiusType	m_Radius

PixelRealType	m_ScaleCoefficients [ImageDimension]

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

Detailed Description

template<typename TSparseImageType>
class itk::NormalVectorDiffusionFunction< TSparseImageType >

This class defines all the necessary functionality for performing isotropic and anisotropic diffusion operations on vector neighborhoods from a sparse image.

: This class implements the actual computations for performing isotropic and anisotropic diffusion operations on a neighborhood of unit length vectors. Moreover, this processing is intrinsic to a manifold as specified by the ManifoldNormal member variables in the nodes of the sparse image.

: Since the only difference between isotropic and anisotropic diffusion is the execution of 1 extra line of code, we have implemented both in this class and made the choice between the two depend on a parameter (see below).

PARAMETERS: The choice between is isotropic/anisotropic diffusion is made by the parameter NormalProcessType. A value of 0 corresponds to isotropic diffusion whereas a value of 1 corresponds to anisotropic diffusion. If anisotropic diffusion is chosen, the parameter ConductanceParameter should be set. This conductance parameter determines the level of feature preservation.

IMPORTANT: This class works on SparseImage neighborhoods. Before using this class please read the documentation for SparseImage. Also the documentation for ImplicitManifoldNormalVectorField class will be helpful in understanding how to use this class as a function object.

Definition at line 60 of file itkNormalVectorDiffusionFunction.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::ConstPointer = SmartPointer<const Self>

Definition at line 69 of file itkNormalVectorDiffusionFunction.h.

◆ FloatOffsetType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::FloatOffsetType = typename Superclass::FloatOffsetType

Definition at line 85 of file itkNormalVectorDiffusionFunction.h.

◆ IndexType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::IndexType = typename Superclass::IndexType

Definition at line 86 of file itkNormalVectorDiffusionFunction.h.

◆ NeighborhoodScalesType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::NeighborhoodScalesType = typename Superclass::NeighborhoodScalesType

Definition at line 84 of file itkNormalVectorDiffusionFunction.h.

◆ NeighborhoodType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::NeighborhoodType = typename Superclass::NeighborhoodType

Definition at line 83 of file itkNormalVectorDiffusionFunction.h.

◆ NodeType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::NodeType = typename Superclass::NodeType

Definition at line 88 of file itkNormalVectorDiffusionFunction.h.

◆ NodeValueType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::NodeValueType = typename Superclass::NodeValueType

Definition at line 89 of file itkNormalVectorDiffusionFunction.h.

◆ NormalVectorType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::NormalVectorType = typename Superclass::NormalVectorType

Definition at line 90 of file itkNormalVectorDiffusionFunction.h.

◆ Pointer

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::Pointer = SmartPointer<Self>

Definition at line 68 of file itkNormalVectorDiffusionFunction.h.

◆ RadiusType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::RadiusType = typename Superclass::RadiusType

Definition at line 82 of file itkNormalVectorDiffusionFunction.h.

◆ Self

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::Self = NormalVectorDiffusionFunction

Standard class type alias.

Definition at line 66 of file itkNormalVectorDiffusionFunction.h.

◆ SparseImageType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::SparseImageType = typename Superclass::SparseImageType

Definition at line 87 of file itkNormalVectorDiffusionFunction.h.

◆ Superclass

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::Superclass = NormalVectorFunctionBase<TSparseImageType>

Definition at line 67 of file itkNormalVectorDiffusionFunction.h.

◆ TimeStepType

template<typename TSparseImageType >

using itk::NormalVectorDiffusionFunction< TSparseImageType >::TimeStepType = typename Superclass::TimeStepType

Typedefs from the superclass.

Definition at line 81 of file itkNormalVectorDiffusionFunction.h.

Constructor & Destructor Documentation

◆ NormalVectorDiffusionFunction()

template<typename TSparseImageType >

itk::NormalVectorDiffusionFunction< TSparseImageType >::NormalVectorDiffusionFunction ( )

protected

The conductance parameter used for anisotropic diffusion.

◆ ~NormalVectorDiffusionFunction()

template<typename TSparseImageType >

itk::NormalVectorDiffusionFunction< TSparseImageType >::~NormalVectorDiffusionFunction ( )

overrideprotecteddefault

The conductance parameter used for anisotropic diffusion.

Member Function Documentation

◆ ComputeSparseUpdate()

template<typename TSparseImageType >

NormalVectorType itk::NormalVectorDiffusionFunction< TSparseImageType >::ComputeSparseUpdate	(	NeighborhoodType &	it,
		void *	globalData,
		const FloatOffsetType &	offset
	)		const

overridevirtual

The actual update rule for the normal vectors.

Implements itk::FiniteDifferenceSparseImageFunction< TSparseImageType >.

◆ CreateAnother()

template<typename TSparseImageType >

virtual::itk::LightObject::Pointer itk::NormalVectorDiffusionFunction< TSparseImageType >::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::LightObject.

◆ FluxStopFunction()

template<typename TSparseImageType >

NodeValueType itk::NormalVectorDiffusionFunction< TSparseImageType >::FluxStopFunction ( const NodeValueType v ) const

inlineprotected

The method called in anisotropic diffusion to inhibit diffusion across areas with large curvature.

Definition at line 158 of file itkNormalVectorDiffusionFunction.h.

References itk::NumericTraits< T >::OneValue().

◆ GetConductanceParameter()

template<typename TSparseImageType >

NodeValueType itk::NormalVectorDiffusionFunction< TSparseImageType >::GetConductanceParameter ( ) const

inline

This method returns the conductance parameter.

Definition at line 126 of file itkNormalVectorDiffusionFunction.h.

◆ GetFluxStopConstant()

template<typename TSparseImageType >

NodeValueType itk::NormalVectorDiffusionFunction< TSparseImageType >::GetFluxStopConstant ( ) const

inline

This method returns the internal variable FluxStopConstant.

Definition at line 133 of file itkNormalVectorDiffusionFunction.h.

◆ GetNameOfClass()

template<typename TSparseImageType >

virtual const char* itk::NormalVectorDiffusionFunction< TSparseImageType >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods)

Reimplemented from itk::NormalVectorFunctionBase< TSparseImageType >.

◆ GetNormalProcessType()

template<typename TSparseImageType >

int itk::NormalVectorDiffusionFunction< TSparseImageType >::GetNormalProcessType ( ) const

inline

This method returns the isotropic/anisotropic filtering parameter.

Definition at line 104 of file itkNormalVectorDiffusionFunction.h.

◆ New()

template<typename TSparseImageType >

static Pointer itk::NormalVectorDiffusionFunction< TSparseImageType >::New ( )

static

Standard New macro.

◆ PrecomputeSparseUpdate()

template<typename TSparseImageType >

void itk::NormalVectorDiffusionFunction< TSparseImageType >::PrecomputeSparseUpdate ( NeighborhoodType & it ) const

overridevirtual

This function is called from LevelSetNormalImageFilter for all of the nodes to compute and store the flux vectors (first derivatives of the normal vectors. ComputeUpdateNormal then takes derivatives of the flux vectors. This way we avoid repeating the same flux computations.

Reimplemented from itk::FiniteDifferenceSparseImageFunction< TSparseImageType >.

◆ PrintSelf()

template<typename TSparseImageType >

void itk::NormalVectorDiffusionFunction< TSparseImageType >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotectedvirtual

The conductance parameter used for anisotropic diffusion.

Reimplemented from itk::FiniteDifferenceSparseImageFunction< TSparseImageType >.

◆ SetConductanceParameter()

template<typename TSparseImageType >

void itk::NormalVectorDiffusionFunction< TSparseImageType >::SetConductanceParameter ( NodeValueType cp )

inline

This method sets the conductance parameter used in anisotropic filtering. Useful values for processing 2D and 3D shapes are between 0.1 and 0.25. Lower values preserve more shape features, higher values smooth more. As the conductance parameter large, the processing becomes isotropic. Default is 0.

Definition at line 115 of file itkNormalVectorDiffusionFunction.h.

◆ SetNormalProcessType()

template<typename TSparseImageType >

void itk::NormalVectorDiffusionFunction< TSparseImageType >::SetNormalProcessType ( int npt )

inline

This method is used to choose between isotropic/anisotropic filtering. A parameter value of 0 indicates isotropic diffusion and is the default. Parameter value 1 is anisotropic diffusion. When using anisotropic diffusion the conductance parameter should also be set.

Definition at line 97 of file itkNormalVectorDiffusionFunction.h.

Member Data Documentation

◆ ImageDimension

template<typename TSparseImageType >

constexpr unsigned int itk::NormalVectorDiffusionFunction< TSparseImageType >::ImageDimension = Superclass::ImageDimension

staticconstexpr

Image dimension derived from the superclass.

Definition at line 75 of file itkNormalVectorDiffusionFunction.h.

◆ m_ConductanceParameter

template<typename TSparseImageType >

NodeValueType itk::NormalVectorDiffusionFunction< TSparseImageType >::m_ConductanceParameter

private

The conductance parameter used for anisotropic diffusion.

Definition at line 174 of file itkNormalVectorDiffusionFunction.h.

◆ m_FluxStopConstant

template<typename TSparseImageType >

NodeValueType itk::NormalVectorDiffusionFunction< TSparseImageType >::m_FluxStopConstant

private

The internal variable used in the FluxStopFunction. It is computed from ConductanceParameter.

Definition at line 178 of file itkNormalVectorDiffusionFunction.h.

◆ m_NormalProcessType

template<typename TSparseImageType >

int itk::NormalVectorDiffusionFunction< TSparseImageType >::m_NormalProcessType

private

The isotropic/anisotropic filtering choice parameter.

Definition at line 181 of file itkNormalVectorDiffusionFunction.h.

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

itkNormalVectorDiffusionFunction.h

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Additional Inherited Members

Detailed Description

template<typename TSparseImageType> class itk::NormalVectorDiffusionFunction< TSparseImageType >

Member Typedef Documentation

◆ ConstPointer

◆ FloatOffsetType

◆ IndexType

◆ NeighborhoodScalesType

◆ NeighborhoodType

◆ NodeType

◆ NodeValueType

◆ NormalVectorType

◆ Pointer

◆ RadiusType

◆ Self

◆ SparseImageType

◆ Superclass

◆ TimeStepType

Constructor & Destructor Documentation

◆ NormalVectorDiffusionFunction()

◆ ~NormalVectorDiffusionFunction()

Member Function Documentation

◆ ComputeSparseUpdate()

◆ CreateAnother()

◆ FluxStopFunction()

◆ GetConductanceParameter()

◆ GetFluxStopConstant()

◆ GetNameOfClass()

◆ GetNormalProcessType()

◆ New()

◆ PrecomputeSparseUpdate()

◆ PrintSelf()

◆ SetConductanceParameter()

◆ SetNormalProcessType()

Member Data Documentation

◆ ImageDimension

◆ m_ConductanceParameter

◆ m_FluxStopConstant

◆ m_NormalProcessType

template<typename TSparseImageType>
class itk::NormalVectorDiffusionFunction< TSparseImageType >