itk::AnisotropicDiffusionFunction< TImage > Class Template Reference
[Finite Difference Functions, Image Enhancement Filters]

#include <itkAnisotropicDiffusionFunction.h>

Inheritance diagram for itk::AnisotropicDiffusionFunction< TImage >:

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Collaboration diagram for itk::AnisotropicDiffusionFunction< TImage >:

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List of all members.

Detailed Description

template<class TImage>
class itk::AnisotropicDiffusionFunction< TImage >

This class is a virtual base for anisotropic diffusion function objects. It is a component object in the finite difference solver hierarchy (see itkFiniteDifferenceImageFilter for an overview). AnisotropicDiffusionFunction objects are used by AnisotropicDiffusionImageFilter objects to perform non-linear diffusion on itk::Images.

Overview of anisotropic diffusion

Anisotropic diffusion methods are formulated to reduce noise (or unwanted detail) in images while preserving specific image features. For many applications, there is an assumption that light-dark transitions (edges) are interesting. Standard isotropic diffusion methods move and blur light-dark boundaries. Anisotropic diffusion methods are formulated to specifically preserve edges.

Anisotropic diffusion methods can be thought of as tools for calculating multi-scale descriptions of images. Embed an image $U(\mathbf{x})$ in a higher dimensional function of derived images, $U(\mathbf{x}, t)$ . This higher dimensional function represents the solution of the heat diffusion equation,

$\frac{d U(\mathbf{x})}{d t} = \nabla \cdot c \nabla U(\mathbf{x})$

: with constant and initial condition $U(\mathbf{x}, 0) = U_0(\mathbf{x})$ , the original image.

: Extending to the case where is not a constant, but a function of $\mathbf{x}$ , gives

$\frac{d U(\mathbf{x})}{d t} = C(\mathbf{x})\Delta U(\mathbf{x}) + \nabla C(\mathbf{x}) \nabla U(\mathbf{x})$

: Our choice of now varies the strength of diffusion anisotropically. Typically, is chosen as some function of image features to selectively preserve or remove those features. For example, edges tend to be preserved over smoother regions where is inversely scaled according to gradient magnitude as in

$C(\mathbf{x}) = e^{-(\frac{\parallel \nabla U(\mathbf{x}) \parallel}{K})^2}$

.

: Several variations on the scheme presented above are implemented in Itk as subclasses of this equation. The equations are solved using an iterative, finite forward difference technique (see the FiniteDifferenceImageFilter class).

How to use this class: This class must be subclassed to provide the CalculateUpdate() methods of FiniteDifferenceFunction and the function CalculateAverageGradientMagnitudeSquared(), which is called before each iteration to recalibrate the conductance term.

Parameters: The parameters defined in this class apply to the basic anisotropic diffusion equation described in AnisotropicDiffusionFunction. Variations on the basic equation will be more or less sensitive to these parameters. For example, functions that perform higher-order derivative calculations may require smaller time-steps than those that only do first-derivative calculations. Wherever possibe, reasonable parameters settings are suggested in the documentation of a specific equation implementation.

TimeStep: In the anisotropic diffusion filter hierarchy, the time step is set explicitly by the user. The time step referred to here corresponds exactly to $\Delta t$ in the finite difference update equation described in FiniteDifferenceImageFilter (see itkFiniteDifferenceImageFilter for more information). Appropriate time steps for solving this type of p.d.e. depend on the dimensionality of the image and the order of the equation. Typical values are less than 0.250. A stable value for most 2 and 3d functions is 0.125. In general, you should keep the time step below 1/2^N, where N is the number of image dimensions. A filter will automatically attempt to constrain its time step to a stable value and generate a run-time warning if the time step is set too high.

Conductance Parameter: The conductance parameter controls the sensitivity of the conductance term in the basic anisotropic diffusion equation. It affect the conductance term in different ways depending on the particular variation on the basic equation. As a general rule, the lower the value, the more strongly the diffusion equation preserves image features (such as high gradients or curvature). A high value for conductance will cause the filter to diffuse image features more readily. Typical values range from 0.5 to 2.0 for data like the Visible Human color data, but the correct value for your application is wholly dependent on the results you want from a specific data set and the number or iterations you perform.

References: Pietro Perona and Jalhandra Malik, ``Scale-space and edge detection using anisotropic diffusion,'' IEEE Transactions on Pattern Analysis Machine Intelligence, vol. 12, pp. 629-639, 1990.

See also:

VectorAnisotropicDiffusionFunction

ScalarAnisotropicDiffusionFunction

GradientAnisotropicDiffusionFunction

CurvatureAnisotropicDiffusionFunction

VectorGradientAnisotropicDiffusionFunction

Todo:: Automatically generate the time step value from image dimensionality and order of the equations

Definition at line 135 of file itkAnisotropicDiffusionFunction.h.


Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ZeroFluxNeumannBoundaryCondition < ImageType >	DefaultBoundaryConditionType
typedef Superclass::FloatOffsetType	FloatOffsetType
typedef Superclass::ImageType	ImageType
typedef Vector< PixelRealType, itkGetStaticConstMacro(ImageDimension)>	NeighborhoodScalesType
typedef Superclass::NeighborhoodType	NeighborhoodType
typedef double	PixelRealType
typedef Superclass::PixelRealType	PixelrealType
typedef Superclass::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RadiusType	RadiusType
typedef AnisotropicDiffusionFunction	Self
typedef FiniteDifferenceFunction < TImage >	Superclass
typedef Superclass::TimeStepType	TimeStepType
Public Member Functions
virtual void	CalculateAverageGradientMagnitudeSquared (ImageType *)=0
virtual TimeStepType	ComputeGlobalTimeStep (void *) const
const NeighborhoodScalesType	ComputeNeighborhoodScales () const
virtual PixelType	ComputeUpdate (const NeighborhoodType &neighborhood, void *globalData, const FloatOffsetType &offset=FloatOffsetType(0.0))=0
virtual Pointer	CreateAnother () const
virtual void	Delete ()
virtual void *	GetGlobalDataPointer () const
virtual const char *	GetNameOfClass () const
const RadiusType &	GetRadius () const
virtual int	GetReferenceCount () const
virtual void	InitializeIteration ()
	itkStaticConstMacro (ImageDimension, unsigned int, ImageType::ImageDimension)
	itkStaticConstMacro (ImageDimension, unsigned int, Superclass::ImageDimension)
void	Print (std::ostream &os, Indent indent=0) const
virtual void	Register () const
virtual void	ReleaseGlobalDataPointer (void *) const
void	SetRadius (const RadiusType &r)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const

const double &	GetAverageGradientMagnitudeSquared () const
void	SetAverageGradientMagnitudeSquared (const double &c)

const double &	GetConductanceParameter () const
void	SetConductanceParameter (const double &c)

const TimeStepType &	GetTimeStep () const
void	SetTimeStep (const TimeStepType &t)

void	SetScaleCoefficients (PixelRealType vals[ImageDimension])
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()
Protected Types

typedef int	InternalReferenceCountType
Protected Member Functions
	AnisotropicDiffusionFunction ()
void	PrintSelf (std::ostream &os, Indent indent) const
	~AnisotropicDiffusionFunction ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
Protected Attributes
RadiusType	m_Radius
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
PixelRealType	m_ScaleCoefficients [ImageDimension]

Member Typedef Documentation

template<class TImage>

typedef SmartPointer<const Self> itk::AnisotropicDiffusionFunction< TImage >::ConstPointer

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 144 of file itkAnisotropicDiffusionFunction.h.

typedef ZeroFluxNeumannBoundaryCondition<ImageType> itk::FiniteDifferenceFunction< TImage >::DefaultBoundaryConditionType [inherited]

The default boundary condition for finite difference functions that is used unless overridden in the Evaluate() method.

Definition at line 92 of file itkFiniteDifferenceFunction.h.

template<class TImage>

typedef Superclass::FloatOffsetType itk::AnisotropicDiffusionFunction< TImage >::FloatOffsetType

A floating point offset from an image grid location. Used for interpolation among grid values in a neighborhood.

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 156 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

typedef Superclass::ImageType itk::AnisotropicDiffusionFunction< TImage >::ImageType

Inherit some parameters from the superclass type

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 147 of file itkAnisotropicDiffusionFunction.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

typedef Vector<PixelRealType,itkGetStaticConstMacro(ImageDimension)> itk::FiniteDifferenceFunction< TImage >::NeighborhoodScalesType [inherited]

The type of data structure that holds the scales with which the neighborhood is weighted to properly account for spacing and neighborhood radius.

Reimplemented in itk::CurvatureFlowFunction< TImage >.

Definition at line 103 of file itkFiniteDifferenceFunction.h.

template<class TImage>

typedef Superclass::NeighborhoodType itk::AnisotropicDiffusionFunction< TImage >::NeighborhoodType

The type of data structure that is passed to this function object to evaluate at a pixel that does not lie on a data set boundary.

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 154 of file itkAnisotropicDiffusionFunction.h.

typedef double itk::FiniteDifferenceFunction< TImage >::PixelRealType [inherited]

Reimplemented in itk::CurvatureFlowFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, and itk::ScalarAnisotropicDiffusionFunction< TImage >.

Definition at line 81 of file itkFiniteDifferenceFunction.h.

template<class TImage>

typedef Superclass::PixelRealType itk::AnisotropicDiffusionFunction< TImage >::PixelrealType

Definition at line 152 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

typedef Superclass::PixelType itk::AnisotropicDiffusionFunction< TImage >::PixelType

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 151 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

typedef SmartPointer<Self> itk::AnisotropicDiffusionFunction< TImage >::Pointer

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 143 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

typedef Superclass::RadiusType itk::AnisotropicDiffusionFunction< TImage >::RadiusType

Neighborhood radius type

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 153 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

typedef AnisotropicDiffusionFunction itk::AnisotropicDiffusionFunction< TImage >::Self

Standard class typedefs.

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 141 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

typedef FiniteDifferenceFunction<TImage> itk::AnisotropicDiffusionFunction< TImage >::Superclass

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 142 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

typedef Superclass::TimeStepType itk::AnisotropicDiffusionFunction< TImage >::TimeStepType

Define the TimeStepType to always be double.

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 155 of file itkAnisotropicDiffusionFunction.h.

Constructor & Destructor Documentation

template<class TImage>

itk::AnisotropicDiffusionFunction< TImage >::AnisotropicDiffusionFunction ( ) [inline, protected]

Definition at line 224 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

itk::AnisotropicDiffusionFunction< TImage >::~AnisotropicDiffusionFunction ( ) [inline, protected]

Definition at line 230 of file itkAnisotropicDiffusionFunction.h.

Member Function Documentation

static void itk::LightObject::BreakOnError ( ) [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

template<class TImage>

virtual void itk::AnisotropicDiffusionFunction< TImage >::CalculateAverageGradientMagnitudeSquared ( ImageType * ) [pure virtual]

This method is called before each iteration. It calculates a scalar value that is the average of the gradient magnitude squared at each pixel in the output image (intermediate solution). The average gradient magnitude value is typically used in the anisotropic diffusion equations to calibrate the conductance term.

template<class TImage>

virtual TimeStepType itk::AnisotropicDiffusionFunction< TImage >::ComputeGlobalTimeStep ( void * ) const [inline, virtual]

Returns the time step supplied by the user. We don't need to use the global data supplied since we are returning a fixed value.

Implements itk::FiniteDifferenceFunction< TImage >.

Definition at line 205 of file itkAnisotropicDiffusionFunction.h.

const NeighborhoodScalesType itk::FiniteDifferenceFunction< TImage >::ComputeNeighborhoodScales ( ) const [inherited]

Compute the scales that weight the neighborhood during difference operations to properly account for spacing and neighborhood radius

virtual PixelType itk::FiniteDifferenceFunction< TImage >::ComputeUpdate	(	const NeighborhoodType &	neighborhood,
		void *	globalData,
		const FloatOffsetType &	offset = `FloatOffsetType(0.0)`
	)			`[pure virtual, inherited]`

This method is called by a finite difference solver image filter at each pixel that does not lie on a data set boundary. The width of the data set boundary is defined by the width of the neighborhood being evaluated.

The neighborhood argument is the neighborhood data. The globalData argument is a pointer to a data structure that holds values that need to be persistent across calls to this function, but cannot be stored in the function object itself for thread-safety reasons. Examples are values needed to compute the time-step for an iteration of the solver.

See also:: InitializeIteration
ComputeGlobalTimeStep

Implemented in itk::BinaryMinMaxCurvatureFlowFunction< TImage >, itk::CurvatureFlowFunction< TImage >, itk::MinMaxCurvatureFlowFunction< TImage >, itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

virtual Pointer itk::LightObject::CreateAnother ( ) const [virtual, inherited]

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 in itk::Object.

virtual void itk::LightObject::Delete ( ) [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

template<class TImage>

const double& itk::AnisotropicDiffusionFunction< TImage >::GetAverageGradientMagnitudeSquared ( ) const [inline]

Set/Get the average gradient magnitude squared.

Definition at line 193 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

const double& itk::AnisotropicDiffusionFunction< TImage >::GetConductanceParameter ( ) const [inline]

Definition at line 186 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

virtual void* itk::AnisotropicDiffusionFunction< TImage >::GetGlobalDataPointer ( ) const [inline, virtual]

The anisotropic diffusion classes don't use this particular parameter so it's safe to return a null value.

Implements itk::FiniteDifferenceFunction< TImage >.

Definition at line 212 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

virtual const char* itk::AnisotropicDiffusionFunction< TImage >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods)

Reimplemented from itk::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

const RadiusType& itk::FiniteDifferenceFunction< TImage >::GetRadius ( void ) const [inline, inherited]

Returns the radius of the neighborhood this FiniteDifferenceFunction needs to perform its calculations.

Definition at line 146 of file itkFiniteDifferenceFunction.h.

virtual int itk::LightObject::GetReferenceCount ( ) const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TImage>

const TimeStepType& itk::AnisotropicDiffusionFunction< TImage >::GetTimeStep ( ) const [inline]

Definition at line 175 of file itkAnisotropicDiffusionFunction.h.

virtual void itk::FiniteDifferenceFunction< TImage >::InitializeIteration ( ) [inline, virtual, inherited]

This method allows the function to set its state before each iteration of the finite difference solver (image filter) that uses it. This is a thread-safe time to manipulate the object's state.

An example of how this can be used: the Anisotropic diffusion class of FiniteDifferenceFunctions use this method to pre-calculate an average gradient magnitude across the entire image region. This value is set in the function object and used by the ComputeUpdate methods that are called at each pixel as a constant.

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

Definition at line 118 of file itkFiniteDifferenceFunction.h.

itk::FiniteDifferenceFunction< TImage >::itkStaticConstMacro	(	ImageDimension	,
		unsigned	int,
		ImageType::ImageDimension
	)			`[inherited]`

Save image dimension.

template<class TImage>

itk::AnisotropicDiffusionFunction< TImage >::itkStaticConstMacro	(	ImageDimension	,
		unsigned	int,
		Superclass::ImageDimension
	)

Inherit some parameters from the superclass type

Reimplemented in itk::CurvatureNDAnisotropicDiffusionFunction< TImage >, itk::GradientNDAnisotropicDiffusionFunction< TImage >, itk::ScalarAnisotropicDiffusionFunction< TImage >, itk::VectorAnisotropicDiffusionFunction< TImage >, itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >, and itk::VectorGradientNDAnisotropicDiffusionFunction< TImage >.

static Pointer itk::LightObject::New ( ) [static, inherited]

Method for creation through the object factory.

void itk::LightObject::Print	(	std::ostream &	os,
		Indent	indent = `0`
	)			const `[inherited]`

Cause the object to print itself out.

Referenced by itk::WeakPointer< itk::ProcessObject >::Print(), and itk::SmartPointer< itk::MutualInformationImageToImageMetric >::Print().

virtual void itk::LightObject::PrintHeader	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual, inherited]`

template<class TImage>

void itk::AnisotropicDiffusionFunction< TImage >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)			const `[inline, protected, virtual]`

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::FiniteDifferenceFunction< TImage >.

Reimplemented in itk::VectorAnisotropicDiffusionFunction< TImage >, and itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage >.

Definition at line 232 of file itkAnisotropicDiffusionFunction.h.

References HardConnectedComponentImageFilter::PrintSelf().

virtual void itk::LightObject::PrintTrailer	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual, inherited]`

virtual void itk::LightObject::Register ( ) const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented in itk::Object.

template<class TImage>

virtual void itk::AnisotropicDiffusionFunction< TImage >::ReleaseGlobalDataPointer ( void * ) const [inline, virtual]

Does nothing. No global data is used in this class of equations.

Implements itk::FiniteDifferenceFunction< TImage >.

Definition at line 218 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

void itk::AnisotropicDiffusionFunction< TImage >::SetAverageGradientMagnitudeSquared ( const double & c ) [inline]

Set/Get the average gradient magnitude squared.

Definition at line 197 of file itkAnisotropicDiffusionFunction.h.

template<class TImage>

void itk::AnisotropicDiffusionFunction< TImage >::SetConductanceParameter ( const double & c ) [inline]

Set/Get the conductance parameter. The conductance parameter.

Definition at line 182 of file itkAnisotropicDiffusionFunction.h.

void itk::FiniteDifferenceFunction< TImage >::SetRadius ( const RadiusType & r ) [inline, inherited]

Sets the radius of the neighborhood this FiniteDifferenceFunction needs to perform its calculations.

Definition at line 141 of file itkFiniteDifferenceFunction.h.

virtual void itk::LightObject::SetReferenceCount ( int ) [virtual, inherited]

Sets the reference count on this object. This is a dangerous method, use it with care.

Reimplemented in itk::Object.

void itk::FiniteDifferenceFunction< TImage >::SetScaleCoefficients ( PixelRealType vals[ImageDimension] ) [inline, inherited]

Set the ScaleCoefficients for the difference operators. The defaults a 1.0. These can be set to take the image spacing into account.

Definition at line 152 of file itkFiniteDifferenceFunction.h.

template<class TImage>

void itk::AnisotropicDiffusionFunction< TImage >::SetTimeStep ( const TimeStepType & t ) [inline]

Set/Get the time step. For this class of anisotropic diffusion filters, the time-step is supplied by the user and remains fixed for all updates.

Definition at line 171 of file itkAnisotropicDiffusionFunction.h.

virtual void itk::LightObject::UnRegister ( ) const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented in itk::Object.

Member Data Documentation

RadiusType itk::FiniteDifferenceFunction< TImage >::m_Radius [protected, inherited]

Definition at line 203 of file itkFiniteDifferenceFunction.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

PixelRealType itk::FiniteDifferenceFunction< TImage >::m_ScaleCoefficients[ImageDimension] [protected, inherited]

Definition at line 204 of file itkFiniteDifferenceFunction.h.

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

itkAnisotropicDiffusionFunction.h

itk::AnisotropicDiffusionFunction< TImage > Class Template Reference [Finite Difference Functions, Image Enhancement Filters]

Detailed Description

template<class TImage> class itk::AnisotropicDiffusionFunction< TImage >

Public Types

Public Member Functions

Static Public Member Functions

Protected Types

Protected Member Functions

Protected Attributes

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

itk::AnisotropicDiffusionFunction< TImage > Class Template Reference
[Finite Difference Functions, Image Enhancement Filters]

template<class TImage>
class itk::AnisotropicDiffusionFunction< TImage >