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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkOptNoiseImageFilter.txx
Language: C++
Date: $Date$
Version: $Revision$
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 __itkOptNoiseImageFilter_txx
#define __itkOptNoiseImageFilter_txx
#include "itkNoiseImageFilter.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkZeroFluxNeumannBoundaryCondition.h"
#include "itkOffset.h"
#include "itkProgressReporter.h"
namespace itk
{
template <class TInputImage, class TOutputImage>
NoiseImageFilter<TInputImage, TOutputImage>
::NoiseImageFilter()
{
}
template< class TInputImage, class TOutputImage>
void
NoiseImageFilter< TInputImage, TOutputImage>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
int threadId)
{
unsigned int i;
ZeroFluxNeumannBoundaryCondition<InputImageType> nbc;
ConstNeighborhoodIterator<InputImageType> bit;
ImageRegionIterator<OutputImageType> it;
// Allocate output
typename OutputImageType::Pointer output = this->GetOutput();
typename InputImageType::ConstPointer input = this->GetInput();
// Find the data-set boundary "faces"
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>::FaceListType faceList;
NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType> bC;
faceList = bC(input, outputRegionForThread, this->GetRadius());
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>::FaceListType::iterator fit;
// support progress methods/callbacks
ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
InputRealType value;
InputRealType sum;
InputRealType sumOfSquares;
InputRealType var;
InputRealType num;
// Process each of the boundary faces. These are N-d regions which border
// the edge of the buffer.
for (fit=faceList.begin(); fit != faceList.end(); ++fit)
{
bit = ConstNeighborhoodIterator<InputImageType>(this->GetRadius(),
input, *fit);
unsigned int neighborhoodSize = bit.Size();
num = static_cast<InputRealType>( bit.Size() );
it = ImageRegionIterator<OutputImageType>(output, *fit);
bit.OverrideBoundaryCondition(&nbc);
bit.GoToBegin();
while ( ! bit.IsAtEnd() )
{
sum = NumericTraits<InputRealType>::Zero;
sumOfSquares = NumericTraits<InputRealType>::Zero;
for (i = 0; i < neighborhoodSize; ++i)
{
value = static_cast<InputRealType>( bit.GetPixel(i) );
sum += value;
sumOfSquares += (value*value);
}
// calculate the standard deviation value
var = (sumOfSquares - (sum*sum/num)) / (num - 1.0);
it.Set( static_cast<OutputPixelType>(vcl_sqrt(var)) );
++bit;
++it;
progress.CompletedPixel();
}
}
}
} // end namespace itk
#endif
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