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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkFiniteDifferenceSparseImageFunction.h,v $
Language: C++
Date: $Date: 2003-09-10 14:29:07 $
Version: $Revision: 1.7 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkFiniteDifferenceSparseImageFunction_h_
#define __itkFiniteDifferenceSparseImageFunction_h_
#include "itkFiniteDifferenceFunction.h"
namespace itk {
/**
* \class FiniteDifferenceSparseImageFunction
*
* \brief This is the base class for function classes that can be used with
* filters derived from FiniteDifferenceSparseImageFilter.
*
* \par 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.
*
* \par 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.
*/
template <class TSparseImageType>
class ITK_EXPORT FiniteDifferenceSparseImageFunction
:public FiniteDifferenceFunction <TSparseImageType>
{
public:
/** Standard class typedef. */
typedef FiniteDifferenceSparseImageFunction Self;
typedef FiniteDifferenceFunction<TSparseImageType> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods) */
itkTypeMacro( FiniteDifferenceSparseImageFunction, FiniteDifferenceFunction );
/** The image dimension. */
itkStaticConstMacro(ImageDimension, unsigned int, Superclass::ImageDimension);
/** Typedefs from the superclass. */
typedef typename Superclass::PixelType PixelType;
typedef typename Superclass::TimeStepType TimeStepType;
typedef typename Superclass::RadiusType RadiusType;
typedef typename Superclass::NeighborhoodType NeighborhoodType;
typedef typename Superclass::FloatOffsetType FloatOffsetType;
typedef typename Superclass::ImageType SparseImageType;
/** The index type for the sparse image. */
typedef typename SparseImageType::IndexType IndexType;
/** The actual type of nodes stored the sparse image.*/
typedef typename SparseImageType::NodeType NodeType;
/** The type for the variables of NodeType. Scalar or vector. */
typedef typename NodeType::NodeDataType NodeDataType;
/** 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. */
virtual PixelType ComputeUpdate(const NeighborhoodType&,
void*,
const FloatOffsetType&)
{
return static_cast<PixelType>(0);
}
/** The update called from the FiniteDifferenceSparseImageFilter. This
function replaces the ComputeUpdate function. */
virtual NodeDataType
ComputeSparseUpdate(NeighborhoodType &neighborhood,
void *globalData,
const FloatOffsetType &offset = FloatOffsetType(0.0))
const = 0;
/** 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. */
virtual void PrecomputeSparseUpdate( NeighborhoodType& ) const {};
protected:
FiniteDifferenceSparseImageFunction() {};
~FiniteDifferenceSparseImageFunction() {};
void PrintSelf(std::ostream& os, Indent indent) const;
private:
FiniteDifferenceSparseImageFunction(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkFiniteDifferenceSparseImageFunction.txx"
#endif
#endif
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