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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 itkNoiseImageFilter_hxx
#define itkNoiseImageFilter_hxx
#include "itkNoiseImageFilter.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkOffset.h"
#include "itkProgressReporter.h"
namespace itk
{
template< typename TInputImage, typename TOutputImage >
NoiseImageFilter< TInputImage, TOutputImage >
::NoiseImageFilter()
{}
template< typename TInputImage, typename TOutputImage >
void
NoiseImageFilter< TInputImage, TOutputImage >
::ThreadedGenerateData(const OutputImageRegionType & outputRegionForThread,
ThreadIdType 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 >::ZeroValue();
sumOfSquares = NumericTraits< InputRealType >::ZeroValue();
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 >( std::sqrt(var) ) );
++bit;
++it;
progress.CompletedPixel();
}
}
}
} // end namespace itk
#endif
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