#include <itkNormalVectorDiffusionFunction.h>

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.

Inheritance diagram for itk::NormalVectorDiffusionFunction< TSparseImageType >:

Collaboration diagram for itk::NormalVectorDiffusionFunction< TSparseImageType >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = NormalVectorDiffusionFunction

using	Superclass = NormalVectorFunctionBase< TSparseImageType >

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

using	NodeType = typename SparseImageType::NodeType

using	NodeValueType = typename NodeType::NodeValueType

using	NormalVectorType = typename NodeType::NodeDataType

using	Pointer = SmartPointer< Self >

using	Self = NormalVectorFunctionBase

using	Superclass = FiniteDifferenceSparseImageFunction< TSparseImageType >

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

using	IndexType = typename SparseImageType::IndexType

using	NodeDataType = typename NodeType::NodeDataType

using	NodeType = typename SparseImageType::NodeType

using	Pointer = SmartPointer< Self >

using	Self = FiniteDifferenceSparseImageFunction

using	SparseImageType = typename Superclass::ImageType

using	Superclass = FiniteDifferenceFunction< TSparseImageType >

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

NodeValueType	GetConductanceParameter () const

NodeValueType	GetFluxStopConstant () const

const char *	GetNameOfClass () const override

int	GetNormalProcessType () const

void	PrecomputeSparseUpdate (NeighborhoodType &it) const override

void	SetNormalProcessType (int npt)


void	SetConductanceParameter (NodeValueType cp)

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

const char *	GetNameOfClass () const override

TimeStepType	GetTimeStep () const

void	SetTimeStep (const TimeStepType &ts)

void *	GetGlobalDataPointer () const override

void	ReleaseGlobalDataPointer (void *) const override

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

const char *	GetNameOfClass () const override

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 Pointer	CreateAnother () 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

Protected Member Functions
	NormalVectorDiffusionFunction ()

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

	~NormalVectorDiffusionFunction () override=default


NodeValueType	FluxStopFunction (const NodeValueType v) const

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

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

	~NormalVectorFunctionBase () override=default

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 ()

Private Attributes
NodeValueType	m_ConductanceParameter {}

NodeValueType	m_FluxStopConstant {}

int	m_NormalProcessType {}

Additional Inherited Members
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 {}

Member Typedef Documentation

◆ ConstPointer

template<typename TSparseImageType >

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

Definition at line 69 of file itkNormalVectorDiffusionFunction.h.

◆ Pointer

template<typename TSparseImageType >

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

Definition at line 68 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.

◆ Superclass

template<typename TSparseImageType >

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

Definition at line 67 of file itkNormalVectorDiffusionFunction.h.

Constructor & Destructor Documentation

◆ NormalVectorDiffusionFunction()

template<typename TSparseImageType >

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

protected

◆ ~NormalVectorDiffusionFunction()

template<typename TSparseImageType >

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

overrideprotecteddefault

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 >.

◆ 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 >

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

overridevirtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::FiniteDifferenceSparseImageFunction< 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

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::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

Detailed Description

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

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ Pointer

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ NormalVectorDiffusionFunction()

◆ ~NormalVectorDiffusionFunction()

Member Function Documentation

◆ ComputeSparseUpdate()

◆ 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 >