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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkOffset.h"
#include "itkTotalProgressReporter.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage>
NoiseImageFilter<TInputImage, TOutputImage>::NoiseImageFilter()
{
this->DynamicMultiThreadingOn();
this->ThreaderUpdateProgressOff();
}
template <typename TInputImage, typename TOutputImage>
void
NoiseImageFilter<TInputImage, TOutputImage>::DynamicThreadedGenerateData(
const OutputImageRegionType & outputRegionForThread)
{
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"
NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType> bC;
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>::FaceListType faceList =
bC(input, outputRegionForThread, this->GetRadius());
TotalProgressReporter progress(this, output->GetRequestedRegion().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 (const auto & face : faceList)
{
bit = ConstNeighborhoodIterator<InputImageType>(this->GetRadius(), input, face);
unsigned int neighborhoodSize = bit.Size();
num = static_cast<InputRealType>(bit.Size());
it = ImageRegionIterator<OutputImageType>(output, face);
bit.OverrideBoundaryCondition(&nbc);
bit.GoToBegin();
while (!bit.IsAtEnd())
{
sum = InputRealType{};
sumOfSquares = InputRealType{};
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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