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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkScalarAnisotropicDiffusionFunction.txx,v $
Language: C++
Date: $Date: 2005-10-03 15:18:45 $
Version: $Revision: 1.11 $
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 __itkScalarAnisotropicDiffusionFunction_txx_
#define __itkScalarAnisotropicDiffusionFunction_txx_
#include "itkZeroFluxNeumannBoundaryCondition.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkDerivativeOperator.h"
//#include <iostream.h>
namespace itk {
template <class TImage>
void
ScalarAnisotropicDiffusionFunction<TImage>
::CalculateAverageGradientMagnitudeSquared(TImage *ip)
{
typedef ConstNeighborhoodIterator<TImage> RNI_type;
typedef ConstNeighborhoodIterator<TImage> SNI_type;
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TImage> BFC_type;
unsigned int i;
ZeroFluxNeumannBoundaryCondition<TImage> bc;
PixelType accumulator;
PixelType val;
PixelType counter;
BFC_type bfc;
typename BFC_type::FaceListType faceList;
typename RNI_type::RadiusType radius;
typename BFC_type::FaceListType::iterator fit;
RNI_type iterator_list[ImageDimension];
SNI_type face_iterator_list[ImageDimension];
DerivativeOperator<PixelType,
ImageDimension> operator_list[ImageDimension];
unsigned long Stride[ImageDimension];
unsigned long Center[ImageDimension];
// Set up the derivative operators, one for each dimension
for (i = 0; i < ImageDimension; ++i)
{
operator_list[i].SetOrder(1);
operator_list[i].SetDirection(i);
operator_list[i].CreateDirectional();
radius[i] = operator_list[i].GetRadius()[i];
}
// Get the various region "faces" that are on the data set boundary.
faceList = bfc(ip, ip->GetRequestedRegion(), radius);
fit = faceList.begin();
// Now do the actual processing
accumulator = NumericTraits<PixelType>::Zero;
counter = NumericTraits<PixelType>::Zero;
// First process the non-boundary region
// Instead of maintaining a single N-d neighborhood of pointers,
// we maintain a list of 1-d neighborhoods along each axial direction.
// This is more efficient for higher dimensions.
for (i = 0; i < ImageDimension; ++i)
{
iterator_list[i]=RNI_type(operator_list[i].GetRadius(), ip, *fit);
iterator_list[i].GoToBegin();
Center[i]=iterator_list[i].Size()/2;
Stride[i]=iterator_list[i].GetStride(i);
}
while ( !iterator_list[0].IsAtEnd() )
{
counter += NumericTraits<PixelType>::One;
for (i = 0; i < ImageDimension; ++i)
{
val = static_cast<PixelType> (iterator_list[i].GetPixel(Center[i]+Stride[i]))-
static_cast<PixelType> (iterator_list[i].GetPixel(Center[i]-Stride[i]));
double tempval;
tempval = val/-2.0f;
val = static_cast<PixelType>(tempval * this->m_ScaleCoefficients[i]);
accumulator += val * val;
++iterator_list[i];
}
}
// Go on to the next region(s). These are on the boundary faces.
++fit;
while ( fit != faceList.end() )
{
for (i = 0; i < ImageDimension; ++i)
{
face_iterator_list[i]=SNI_type(operator_list[i].GetRadius(), ip,
*fit);
face_iterator_list[i].OverrideBoundaryCondition(&bc);
face_iterator_list[i].GoToBegin();
Center[i]=face_iterator_list[i].Size()/2;
Stride[i]=face_iterator_list[i].GetStride(i);
}
while ( ! face_iterator_list[0].IsAtEnd() )
{
counter += NumericTraits<PixelType>::One;
for (i = 0; i < ImageDimension; ++i)
{
val = static_cast<PixelType> (
face_iterator_list[i].GetPixel(Center[i]+Stride[i]))-
static_cast<PixelType> (
face_iterator_list[i].GetPixel(Center[i]-Stride[i]));
double tempval;
tempval = val / -2.0f;
val = static_cast<PixelType>(
tempval * this->m_ScaleCoefficients[i]);
accumulator += val * val;
++face_iterator_list[i];
}
}
++fit;
}
this->SetAverageGradientMagnitudeSquared( (double) (accumulator / counter) );
}
}// end namespace itk
#endif
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