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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 itkMaskedImageToHistogramFilter_hxx
#define itkMaskedImageToHistogramFilter_hxx
#include "itkProgressReporter.h"
#include "itkImageRegionConstIterator.h"
namespace itk
{
namespace Statistics
{
template <typename TImage, typename TMaskImage>
MaskedImageToHistogramFilter<TImage, TMaskImage>::MaskedImageToHistogramFilter()
{
Self::AddRequiredInputName("MaskImage");
this->SetMaskValue(NumericTraits<MaskPixelType>::max());
}
template <typename TImage, typename TMaskImage>
void
MaskedImageToHistogramFilter<TImage, TMaskImage>::ThreadedComputeMinimumAndMaximum(
const RegionType & inputRegionForThread)
{
unsigned int nbOfComponents = this->GetInput()->GetNumberOfComponentsPerPixel();
HistogramMeasurementVectorType min(nbOfComponents);
HistogramMeasurementVectorType max(nbOfComponents);
MaskPixelType maskValue = this->GetMaskValue();
ImageRegionConstIterator<TImage> inputIt(this->GetInput(), inputRegionForThread);
ImageRegionConstIterator<TMaskImage> maskIt(this->GetMaskImage(), inputRegionForThread);
inputIt.GoToBegin();
maskIt.GoToBegin();
HistogramMeasurementVectorType m(nbOfComponents);
min.Fill(NumericTraits<ValueType>::max());
max.Fill(NumericTraits<ValueType>::NonpositiveMin());
while (!inputIt.IsAtEnd())
{
if (maskIt.Get() == maskValue)
{
const PixelType & p = inputIt.Get();
NumericTraits<PixelType>::AssignToArray(p, m);
for (unsigned int i = 0; i < nbOfComponents; ++i)
{
min[i] = std::min(m[i], min[i]);
max[i] = std::max(m[i], max[i]);
}
}
++inputIt;
++maskIt;
}
const std::lock_guard<std::mutex> lockGuard(this->m_Mutex);
for (unsigned int i = 0; i < nbOfComponents; ++i)
{
this->m_Minimum[i] = std::min(this->m_Minimum[i], min[i]);
this->m_Maximum[i] = std::max(this->m_Maximum[i], max[i]);
}
}
template <typename TImage, typename TMaskImage>
void
MaskedImageToHistogramFilter<TImage, TMaskImage>::ThreadedStreamedGenerateData(const RegionType & inputRegionForThread)
{
const unsigned int nbOfComponents = this->GetInput()->GetNumberOfComponentsPerPixel();
const HistogramType * outputHistogram = this->GetOutput();
HistogramPointer histogram = HistogramType::New();
histogram->SetClipBinsAtEnds(outputHistogram->GetClipBinsAtEnds());
histogram->SetMeasurementVectorSize(nbOfComponents);
histogram->Initialize(outputHistogram->GetSize(), this->m_Minimum, this->m_Maximum);
ImageRegionConstIterator<TImage> inputIt(this->GetInput(), inputRegionForThread);
ImageRegionConstIterator<TMaskImage> maskIt(this->GetMaskImage(), inputRegionForThread);
inputIt.GoToBegin();
maskIt.GoToBegin();
HistogramMeasurementVectorType m(nbOfComponents);
MaskPixelType maskValue = this->GetMaskValue();
typename HistogramType::IndexType index;
while (!inputIt.IsAtEnd())
{
if (maskIt.Get() == maskValue)
{
const PixelType & p = inputIt.Get();
NumericTraits<PixelType>::AssignToArray(p, m);
histogram->GetIndex(m, index);
histogram->IncreaseFrequencyOfIndex(index, 1);
}
++inputIt;
++maskIt;
}
this->ThreadedMergeHistogram(std::move(histogram));
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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