/usr/include/ITK-4.5/itkFiniteDifferenceSparseImageFunction.h is in libinsighttoolkit4-dev 4.5.0-3.
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*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#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.
* \ingroup ITKFiniteDifference
*/
template< typename TSparseImageType >
class 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.hxx"
#endif
#endif
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