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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 "itkHistogram.h"
#include "itkSampleToHistogramFilter.h"
#include "itkImageToListSampleFilter.h"
#include "itkImageFileReader.h"
#include "itkTestingMacros.h"
int
itkSampleToHistogramFilterTest5(int argc, char * argv[])
{
constexpr unsigned int imageDimension = 2;
if (argc < 2)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " inputImageFilename " << std::endl;
return EXIT_FAILURE;
}
//
// Note:
//
// The purpose of this test is to verify that the
// SampleToHistogramFilter can be used for generating the
// histogram of an image.
//
using VMeasurementType = unsigned char; // type for the samples
using HMeasurementType = float; // type for the histogram
using PixelType = itk::RGBPixel<VMeasurementType>;
constexpr unsigned int numberOfComponents = 3;
using ImageType = itk::Image<PixelType, imageDimension>;
using ImageToListSampleFilterType = itk::Statistics::ImageToListSampleFilter<ImageType>;
using SampleType = ImageToListSampleFilterType::ListSampleType;
using HistogramType = itk::Statistics::Histogram<HMeasurementType, itk::Statistics::DenseFrequencyContainer2>;
using FilterType = itk::Statistics::SampleToHistogramFilter<SampleType, HistogramType>;
using MeasurementVectorType = HistogramType::MeasurementVectorType;
using HistogramSizeType = FilterType::HistogramSizeType;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
auto imageToSampleFilter = ImageToListSampleFilterType::New();
auto filter = FilterType::New();
reader->SetFileName(argv[1]);
imageToSampleFilter->SetInput(reader->GetOutput());
filter->SetInput(imageToSampleFilter->GetOutput());
// Test exception when calling Update() without having
// defined the size of the histogram in the filter.
ITK_TRY_EXPECT_EXCEPTION(filter->Update());
const HistogramType * histogram = filter->GetOutput();
if (histogram->Size() != 0)
{
std::cerr << "Histogram Size should have been zero" << std::endl;
return EXIT_FAILURE;
}
HistogramSizeType histogramSize(numberOfComponents);
histogramSize[0] = 256;
histogramSize[1] = 256;
histogramSize[2] = 256;
filter->SetHistogramSize(histogramSize);
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
const unsigned int expectedHistogramSize = histogramSize[0] * histogramSize[1] * histogramSize[2];
if (histogram->Size() != expectedHistogramSize)
{
std::cerr << "Histogram Size should have been " << expectedHistogramSize << std::endl;
std::cerr << " but it actually is " << histogram->Size() << std::endl;
return EXIT_FAILURE;
}
HistogramType::ConstIterator histogramItr = histogram->Begin();
HistogramType::ConstIterator histogramEnd = histogram->End();
using PrintType = itk::NumericTraits<VMeasurementType>::PrintType;
unsigned int count = 0;
while (histogramItr != histogramEnd)
{
if (histogramItr.GetFrequency() != 0)
{
count++;
if (count % 1000)
{
MeasurementVectorType measurementVector = histogramItr.GetMeasurementVector();
std::cout << static_cast<PrintType>(measurementVector[0]) << " ";
std::cout << static_cast<PrintType>(measurementVector[1]) << " ";
std::cout << static_cast<PrintType>(measurementVector[2]) << " ";
std::cout << "frequency: " << histogramItr.GetFrequency() << std::endl;
}
}
++histogramItr;
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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