#include <itkFiniteDifferenceSparseImageFilter.h>

Inheritance diagram for itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >:

Collaboration diagram for itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >:

Classes
struct	FDThreadStruct
struct	ThreadRegionType
Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::FiniteDifferenceFunctionType	FiniteDifferenceFunctionType
typedef SparseOutputImageType::IndexType	IndexType
typedef Superclass::InputImageType	InputImageType
typedef OutputNodeType::NodeDataType	NodeDataType
typedef SparseOutputImageType::NodeListType	NodeListType
typedef OutputNodeType::NodeValueType	NodeValueType
typedef SparseOutputImageType::NodeType	OutputNodeType
typedef Superclass::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef FiniteDifferenceSparseImageFilter	Self
typedef SparseOutputImageType::SizeType	SizeType
typedef FiniteDifferenceSparseImageFunction < SparseOutputImageType >	SparseFunctionType
typedef Superclass::OutputImageType	SparseOutputImageType
typedef FiniteDifferenceImageFilter < TInputImageType, TSparseOutputImageType >	Superclass
typedef Superclass::TimeStepType	TimeStepType
Public Member Functions
virtual const char *	GetNameOfClass () const
virtual bool	GetPrecomputeFlag () const
virtual void	SetPrecomputeFlag (bool _arg)
void	SetSparseFunction (SparseFunctionType *sf)
Static Public Attributes
static const unsigned int	ImageDimension = Superclass::ImageDimension
Protected Member Functions
virtual void	AllocateUpdateBuffer ()
virtual void	ApplyUpdate (const TimeStepType &dt)
virtual TimeStepType	CalculateChange ()
virtual NodeDataType	DataConstraint (const NodeDataType &data) const
	FiniteDifferenceSparseImageFilter ()
ThreadIdType	GetSplitRegion (ThreadIdType i, ThreadIdType num, ThreadRegionType &splitRegion)
virtual void	Initialize ()
virtual void	PrecalculateChange ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	ThreadedApplyUpdate (const TimeStepType &dt, const ThreadRegionType &regionToProcess, ThreadIdType threadId)
virtual TimeStepType	ThreadedCalculateChange (const ThreadRegionType &regionToProcess, ThreadIdType threadId)
virtual void	ThreadedPrecalculateChange (const ThreadRegionType &regionToProcess, ThreadIdType threadId)
	~FiniteDifferenceSparseImageFilter ()
Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	ApplyUpdateThreaderCallback (void *arg)
static ITK_THREAD_RETURN_TYPE	CalculateChangeThreaderCallback (void *arg)
static ITK_THREAD_RETURN_TYPE	PrecalculateChangeThreaderCallback (void *arg)
Private Member Functions
	FiniteDifferenceSparseImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
bool	m_PrecomputeFlag
NodeListType::RegionListType	m_RegionList
SparseFunctionType *	m_SparseFunction

Detailed Description

template<class TInputImageType, class TSparseOutputImageType>
class itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >

This class implements a multi-threaded base class for Image to SparseImage finite difference processes.

: This class implements a multi-threading mechanism for implementing finite difference PDE's on sparse image types. The sparse image is a image of pointers to node variables at valid pixel locations and null pointers at others. The node variable type must have the following members: m_Index, m_Data and m_Update.

: This class also adds precomputing support to the finite difference image filter scheme. This support can be used by certain filters to speed up the processing. The m_PrecomputeFlag should be set to true to use this and the Function object must provide a PrecomputeSparseUpdate method.

INPUTS: The input to this filter is either a regular or sparse image. Subclasses should provide a way of copying this information to the output sparse image or initializing the output image nodes from the input image.

OUTPUTS: The output is a sparse image. The output will be in the m_Data members of the nodes of the sparse image.

IMPORTANT: The output sparse image type must be templated with a node type that at least has the following member variables: m_Index, m_Data and m_Update.

Definition at line 63 of file itkFiniteDifferenceSparseImageFilter.h.