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itkBlockMatchingMultiResolutionMinMaxSearchRegionImageSource.hxx
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itkBlockMatchingMultiResolutionMinMaxSearchRegionImageSource.hxx
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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 itkBlockMatchingMultiResolutionMinMaxSearchRegionImageSource_hxx
#define itkBlockMatchingMultiResolutionMinMaxSearchRegionImageSource_hxx
#include "itkImageRegionConstIterator.h"
#include "itkImageRegionIteratorWithIndex.h"
namespace itk
{
namespace BlockMatching
{
template <typename TFixedImage, typename TMovingImage, typename TDisplacementImage>
void
MultiResolutionMinMaxSearchRegionImageSource<TFixedImage, TMovingImage, TDisplacementImage>::
DynamicThreadedGenerateData(const OutputRegionType & outputRegion)
{
OutputImageType * output = this->GetOutput();
using IndexType = typename MovingImageType::IndexType;
OutputRegionType region;
OutputRegionType movingLargestRegion = this->m_MovingImage->GetLargestPossibleRegion();
typename MovingImageType::PointType point;
IndexType index;
typename MovingImageType::SizeType unitySize;
typename MovingImageType::SizeType minimumRegionSize;
unitySize.Fill(1);
IndexType startIndex = this->m_MovingImage->GetLargestPossibleRegion().GetIndex();
IndexType endIndex;
IndexType closestIndex;
double slope;
RadiusType radius;
for (unsigned int i = 0; i < ImageDimension; ++i)
{
slope = (this->m_MinFactor[i] - this->m_MaxFactor[i]) / (this->m_PyramidSchedule.rows() - 1.0);
radius[i] = Math::Ceil<typename RadiusType::SizeValueType>(this->m_FixedBlockRadius[i] *
(slope * this->m_CurrentLevel + this->m_MaxFactor[i]));
minimumRegionSize[i] = 2 * radius[i] + 1;
endIndex[i] =
startIndex[i] + this->m_MovingImage->GetLargestPossibleRegion().GetSize()[i] - 1 - minimumRegionSize[i];
}
if (this->m_CurrentLevel == 0)
{
ImageRegionIteratorWithIndex<OutputImageType> it(output, outputRegion);
for (it.GoToBegin(); !it.IsAtEnd(); ++it)
{
index = it.GetIndex();
output->TransformIndexToPhysicalPoint(index, point);
this->m_MovingImage->TransformPhysicalPointToIndex(point, index);
region.SetIndex(index);
region.SetSize(unitySize);
region.PadByRadius(radius);
if (!region.Crop(movingLargestRegion))
{
itkExceptionMacro(<< "Attempted to create a search region entirely outside the moving image.");
}
it.Set(region);
}
}
else
{
ImageRegionIteratorWithIndex<OutputImageType> it(output, outputRegion);
ImageRegionConstIterator<DisplacementImageType> dispIt(this->m_DisplacementResampler->GetOutput(), outputRegion);
for (it.GoToBegin(), dispIt.GoToBegin(); !it.IsAtEnd(); ++it, ++dispIt)
{
index = it.GetIndex();
output->TransformIndexToPhysicalPoint(index, point);
// resample displacement image
this->m_MovingImage->TransformPhysicalPointToIndex(point + dispIt.Get(), index);
region.SetIndex(index);
region.SetSize(unitySize);
region.PadByRadius(radius);
if (!region.Crop(movingLargestRegion))
{
// Set to the closest index and with a valid minimumsearch region
// radius. .
for (unsigned int i = 0; i < ImageDimension; ++i)
{
closestIndex[i] = index[i];
if (index[i] < startIndex[i])
{
closestIndex[i] = startIndex[i];
}
else if (index[i] > endIndex[i])
{
closestIndex[i] = endIndex[i] - minimumRegionSize[i];
}
}
region.SetIndex(closestIndex);
region.SetSize(minimumRegionSize);
}
it.Set(region);
}
}
}
} // namespace BlockMatching
} // namespace itk
#endif