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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.
*
*=========================================================================*/
#include "itkImageToHistogramFilter.h"
#include "itkMinimumMaximumImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkJoinImageFilter.h"
#include "itkHistogramToProbabilityImageFilter.h"
#include "itkTestingMacros.h"
int
itkHistogramToProbabilityImageFilterTest2(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " inputScalarImageFileName outputImage" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using PixelComponentType = unsigned char;
using ScalarImageType = itk::Image<PixelComponentType, Dimension>;
using ReaderType = itk::ImageFileReader<ScalarImageType>;
auto reader1 = ReaderType::New();
auto reader2 = ReaderType::New();
reader1->SetFileName(argv[1]);
reader2->SetFileName(argv[2]);
try
{
reader1->Update();
reader2->Update();
}
catch (const itk::ExceptionObject & excp)
{
std::cerr << "Problem encountered while reading image file : " << argv[1] << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
using JoinFilterType = itk::JoinImageFilter<ScalarImageType, ScalarImageType>;
auto joinFilter = JoinFilterType::New();
using ArrayImageType = JoinFilterType::OutputImageType;
joinFilter->SetInput1(reader1->GetOutput());
joinFilter->SetInput2(reader2->GetOutput());
using HistogramFilterType = itk::Statistics::ImageToHistogramFilter<ArrayImageType>;
using HistogramMeasurementVectorType = HistogramFilterType::HistogramMeasurementVectorType;
constexpr unsigned int NumberOfComponents = 2;
itk::MinimumMaximumImageFilter<ScalarImageType>::Pointer minmaxFilter =
itk::MinimumMaximumImageFilter<ScalarImageType>::New();
HistogramMeasurementVectorType imageMin(NumberOfComponents);
HistogramMeasurementVectorType imageMax(NumberOfComponents);
minmaxFilter->SetInput(reader1->GetOutput());
minmaxFilter->Update();
imageMin[0] = minmaxFilter->GetMinimum();
imageMax[0] = minmaxFilter->GetMaximum();
minmaxFilter->SetInput(reader2->GetOutput());
minmaxFilter->Update();
imageMin[1] = minmaxFilter->GetMinimum();
imageMax[1] = minmaxFilter->GetMaximum();
auto histogramFilter = HistogramFilterType::New();
histogramFilter->SetInput(joinFilter->GetOutput());
HistogramFilterType::HistogramSizeType numberOfBins(NumberOfComponents);
numberOfBins[0] = static_cast<unsigned int>(imageMax[0] - imageMin[0] + 1);
numberOfBins[1] = static_cast<unsigned int>(imageMax[1] - imageMin[1] + 1);
histogramFilter->SetHistogramSize(numberOfBins);
histogramFilter->SetMarginalScale(1.0);
histogramFilter->SetHistogramBinMinimum(imageMin);
histogramFilter->SetHistogramBinMaximum(imageMax);
histogramFilter->Update();
using HistogramType = HistogramFilterType::HistogramType;
const HistogramType * histogram = histogramFilter->GetOutput();
using HistogramToImageFilterType = itk::HistogramToProbabilityImageFilter<HistogramType>;
auto histogramToImageFilter = HistogramToImageFilterType::New();
histogramToImageFilter->SetInput(histogram);
using OutputImageType = HistogramToImageFilterType::OutputImageType;
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[3]);
writer->SetInput(histogramToImageFilter->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
return EXIT_SUCCESS;
}
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