#include <itkFiniteDifferenceSparseImageFunction.h>

Inheritance diagram for itk::FiniteDifferenceSparseImageFunction< TSparseImageType >:

Collaboration diagram for itk::FiniteDifferenceSparseImageFunction< TSparseImageType >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::FloatOffsetType	FloatOffsetType
typedef SparseImageType::IndexType	IndexType
typedef Superclass::NeighborhoodType	NeighborhoodType
typedef NodeType::NodeDataType	NodeDataType
typedef SparseImageType::NodeType	NodeType
typedef Superclass::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RadiusType	RadiusType
typedef FiniteDifferenceSparseImageFunction	Self
typedef Superclass::ImageType	SparseImageType
typedef FiniteDifferenceFunction < TSparseImageType >	Superclass
typedef Superclass::TimeStepType	TimeStepType
Public Member Functions
virtual NodeDataType	ComputeSparseUpdate (NeighborhoodType &neighborhood, void *globalData, const FloatOffsetType &offset=FloatOffsetType(0.0)) const =0
virtual PixelType	ComputeUpdate (const NeighborhoodType &, void *, const FloatOffsetType &)
virtual const char *	GetNameOfClass () const
Static Public Attributes
static const unsigned int	ImageDimension = Superclass::ImageDimension
Private Member Functions
	FiniteDifferenceSparseImageFunction (const Self &)
void	operator= (const Self &)
virtual void	PrecomputeSparseUpdate (NeighborhoodType &) const
	FiniteDifferenceSparseImageFunction ()
	~FiniteDifferenceSparseImageFunction ()
void	PrintSelf (std::ostream &os, Indent indent) const

Detailed Description

template<class TSparseImageType>
class itk::FiniteDifferenceSparseImageFunction< TSparseImageType >

This is the base class for function classes that can be used with filters derived from FiniteDifferenceSparseImageFilter.

This class is derived from FiniteDifferenceFunction. It is designed to: work with neighborhoods of pointers instead of actual data. Towards this purpose ComputeUpdate method is no longer used and is replaced by the ComputeSparseUpdate method. ComputeSparseUpdate assumes that the pointers are associated with structures that have the member variable m_Data. The pointers would normally originate from a SparseImage object.

The PrecomputeSparseUpdate method can be defined to do a first pass of: computations which then can be used by ComputeSparseUpdate. If PrecomputeSparseUpdate is used then the m_PrecomputeFlag should be set in the FiniteDifferenceSparseImageFilter class. The precomputation step can be used to speed up computation by avoiding repetitions. See the NormalVectorDiffusionFunction for an example.

Definition at line 47 of file itkFiniteDifferenceSparseImageFunction.h.

Member Typedef Documentation

template<class TSparseImageType >

typedef SmartPointer< const Self > itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::ConstPointer

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 56 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef Superclass::FloatOffsetType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::FloatOffsetType

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

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 69 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef SparseImageType::IndexType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::IndexType

The index type for the sparse image.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 73 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef Superclass::NeighborhoodType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::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< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 68 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef NodeType::NodeDataType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::NodeDataType

The type for the variables of NodeType. Scalar or vector.

Definition at line 79 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef SparseImageType::NodeType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::NodeType

The actual type of nodes stored the sparse image.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 76 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef Superclass::PixelType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::PixelType

Typedefs from the superclass.

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Definition at line 65 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef SmartPointer< Self > itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::Pointer

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 55 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef Superclass::RadiusType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::RadiusType

Neighborhood radius type

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 67 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef FiniteDifferenceSparseImageFunction itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::Self

Standard class typedef.

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 53 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef Superclass::ImageType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::SparseImageType

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 70 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef FiniteDifferenceFunction< TSparseImageType > itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::Superclass

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 54 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

typedef Superclass::TimeStepType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::TimeStepType

Define the TimeStepType to always be double.

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

Definition at line 66 of file itkFiniteDifferenceSparseImageFunction.h.

Constructor & Destructor Documentation

template<class TSparseImageType >

itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::FiniteDifferenceSparseImageFunction ( ) [inline, protected]

This function provides support for a 2 step update computation that avoids repetitive computation. FiniteDifferenceSparseImageFilter first calls this function for all active pixels in the SparseImage class, then calls ComputeSparseUpdate for the same set of pixels. This is used in NormalVectorDiffusionFunction to calculate flux variables which are then used to compute the updates. Intermediate variables such as the flux in the above examples are stored in the nodes of the SparseImage itself. Therefore, this function will have to know about the NodeType it is dealing with. This function does nothing by default.

Definition at line 111 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::~FiniteDifferenceSparseImageFunction ( ) [inline, protected]

This function provides support for a 2 step update computation that avoids repetitive computation. FiniteDifferenceSparseImageFilter first calls this function for all active pixels in the SparseImage class, then calls ComputeSparseUpdate for the same set of pixels. This is used in NormalVectorDiffusionFunction to calculate flux variables which are then used to compute the updates. Intermediate variables such as the flux in the above examples are stored in the nodes of the SparseImage itself. Therefore, this function will have to know about the NodeType it is dealing with. This function does nothing by default.

Definition at line 112 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::FiniteDifferenceSparseImageFunction ( const Self & ) [private]

Member Function Documentation

template<class TSparseImageType >

virtual NodeDataType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::ComputeSparseUpdate	(	NeighborhoodType &	neighborhood,
		void *	globalData,
		const FloatOffsetType &	offset = `FloatOffsetType(0.0)`
	)		const `[pure virtual]`

The update called from the FiniteDifferenceSparseImageFilter. This function replaces the ComputeUpdate function.

Implemented in itk::NormalVectorDiffusionFunction< TSparseImageType >.

template<class TSparseImageType >

virtual PixelType itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::ComputeUpdate	(	const NeighborhoodType &	,
		void *	,
		const FloatOffsetType &
	)		`[inline, virtual]`

This function is not called from the FiniteDifferenceSparseImageFilter class because we need to work with neighborhoods of pointers to data variables instead of neighborhoods of data directly. This function is replaced by the ComputeSparseUpdate function.

Implements itk::FiniteDifferenceFunction< TSparseImageType >.

Definition at line 85 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

virtual const char* itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods)

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

template<class TSparseImageType >

void itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::operator= ( const Self & ) [private]

Mutex lock to protect modification to the reference count

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.

template<class TSparseImageType >

virtual void itk::FiniteDifferenceSparseImageFunction< TSparseImageType >::PrecomputeSparseUpdate ( NeighborhoodType & ) const [inline, virtual]

This function provides support for a 2 step update computation that avoids repetitive computation. FiniteDifferenceSparseImageFilter first calls this function for all active pixels in the SparseImage class, then calls ComputeSparseUpdate for the same set of pixels. This is used in NormalVectorDiffusionFunction to calculate flux variables which are then used to compute the updates. Intermediate variables such as the flux in the above examples are stored in the nodes of the SparseImage itself. Therefore, this function will have to know about the NodeType it is dealing with. This function does nothing by default.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >.

Definition at line 109 of file itkFiniteDifferenceSparseImageFunction.h.

template<class TSparseImageType >

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

This function provides support for a 2 step update computation that avoids repetitive computation. FiniteDifferenceSparseImageFilter first calls this function for all active pixels in the SparseImage class, then calls ComputeSparseUpdate for the same set of pixels. This is used in NormalVectorDiffusionFunction to calculate flux variables which are then used to compute the updates. Intermediate variables such as the flux in the above examples are stored in the nodes of the SparseImage itself. Therefore, this function will have to know about the NodeType it is dealing with. This function does nothing by default.

Reimplemented from itk::FiniteDifferenceFunction< TSparseImageType >.

Reimplemented in itk::NormalVectorDiffusionFunction< TSparseImageType >, and itk::NormalVectorFunctionBase< TSparseImageType >.