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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 itkOtsuMultipleThresholdsImageFilter_hxx
#define itkOtsuMultipleThresholdsImageFilter_hxx
#include "itkThresholdLabelerImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage>
OtsuMultipleThresholdsImageFilter<TInputImage, TOutputImage>::OtsuMultipleThresholdsImageFilter()
: m_LabelOffset(OutputPixelType{})
{
m_Thresholds.clear();
}
template <typename TInputImage, typename TOutputImage>
void
OtsuMultipleThresholdsImageFilter<TInputImage, TOutputImage>::GenerateData()
{
auto progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
// Create a histogram of the image intensities
auto histogramGenerator = HistogramGeneratorType::New();
histogramGenerator->SetInput(this->GetInput());
histogramGenerator->SetNumberOfBins(m_NumberOfHistogramBins);
histogramGenerator->Compute();
// Compute the multiple Otsu Thresholds for the input image
auto otsuHistogramThresholdCalculator = OtsuCalculatorType::New();
otsuHistogramThresholdCalculator->SetInputHistogram(histogramGenerator->GetOutput());
otsuHistogramThresholdCalculator->SetNumberOfThresholds(m_NumberOfThresholds);
otsuHistogramThresholdCalculator->SetValleyEmphasis(m_ValleyEmphasis);
otsuHistogramThresholdCalculator->SetReturnBinMidpoint(m_ReturnBinMidpoint);
otsuHistogramThresholdCalculator->Compute();
m_Thresholds = otsuHistogramThresholdCalculator->GetOutput();
typename ThresholdLabelerImageFilter<TInputImage, TOutputImage>::Pointer threshold =
ThresholdLabelerImageFilter<TInputImage, TOutputImage>::New();
progress->RegisterInternalFilter(threshold, 1.0f);
threshold->GraftOutput(this->GetOutput());
threshold->SetInput(this->GetInput());
threshold->SetRealThresholds(m_Thresholds);
threshold->SetLabelOffset(m_LabelOffset);
threshold->Update();
this->GraftOutput(threshold->GetOutput());
}
template <typename TInputImage, typename TOutputImage>
void
OtsuMultipleThresholdsImageFilter<TInputImage, TOutputImage>::GenerateInputRequestedRegion()
{
auto * input = const_cast<TInputImage *>(this->GetInput());
if (input)
{
input->SetRequestedRegionToLargestPossibleRegion();
}
}
template <typename TInputImage, typename TOutputImage>
void
OtsuMultipleThresholdsImageFilter<TInputImage, TOutputImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "NumberOfHistogramBins: " << m_NumberOfHistogramBins << std::endl;
os << indent << "NumberOfThresholds: " << m_NumberOfThresholds << std::endl;
os << indent << "LabelOffset: " << m_LabelOffset << std::endl;
os << indent << "Thresholds: " << std::endl;
for (SizeValueType j = 0; j < m_Thresholds.size(); ++j)
{
os << indent << "\tThreshold #" << j << ": "
<< static_cast<typename NumericTraits<InputPixelType>::PrintType>(m_Thresholds[j]) << std::endl;
}
}
} // end namespace itk
#endif
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