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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 "itkImageFileReader.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkImageToHistogramFilterTest2(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " inputRGBImageFileName outputHistogramFile.txt [autoMinumumMaximum]" << std::endl;
return EXIT_FAILURE;
}
bool autoMinimumMaximum = false;
if (argc >= 4)
{
autoMinimumMaximum = atoi(argv[3]);
}
using PixelComponentType = unsigned char;
using RGBPixelType = itk::RGBPixel<PixelComponentType>;
constexpr unsigned int Dimension = 2;
using RGBImageType = itk::Image<RGBPixelType, Dimension>;
constexpr unsigned int MeasurementVectorSize = 3; // RGB
using ReaderType = itk::ImageFileReader<RGBImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
using HistogramFilterType = itk::Statistics::ImageToHistogramFilter<RGBImageType>;
auto histogramFilter = HistogramFilterType::New();
itk::SimpleFilterWatcher watcher(histogramFilter, "filter");
using HistogramMeasurementVectorType = HistogramFilterType::HistogramMeasurementVectorType;
if (autoMinimumMaximum)
{
histogramFilter->AutoMinimumMaximumOn();
}
else
{
// Setting bin mins and max
HistogramMeasurementVectorType histogramBinMinimum(MeasurementVectorSize);
histogramBinMinimum[0] = -0.5;
histogramBinMinimum[1] = -0.5;
histogramBinMinimum[2] = -0.5;
HistogramMeasurementVectorType histogramBinMaximum(MeasurementVectorSize);
histogramBinMaximum[0] = 255.5;
histogramBinMaximum[1] = 255.5;
histogramBinMaximum[2] = 255.5;
histogramFilter->SetHistogramBinMinimum(histogramBinMinimum);
histogramFilter->SetHistogramBinMaximum(histogramBinMaximum);
}
using SizeType = HistogramFilterType::HistogramSizeType;
SizeType size(MeasurementVectorSize);
size[0] = 255; // number of bins for the Red channel
size[1] = 1; // number of bins for the Green channel
size[2] = 1; // number of bins for the Blue channel
histogramFilter->SetHistogramSize(size);
histogramFilter->SetMarginalScale(10.0);
histogramFilter->SetInput(reader->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(histogramFilter->Update());
using HistogramType = HistogramFilterType::HistogramType;
const HistogramType * histogram = histogramFilter->GetOutput();
std::ofstream outputFile;
outputFile.open(argv[2]);
const unsigned int histogramSize = histogram->Size();
outputFile << "Histogram size " << histogramSize << std::endl;
unsigned int channel = 0; // red channel
outputFile << "Histogram of the red component" << std::endl;
for (unsigned int bin = 0; bin < histogramSize; ++bin)
{
outputFile << "bin = " << bin << " frequency = ";
outputFile << histogram->GetFrequency(bin, channel) << std::endl;
}
size[0] = 1; // number of bins for the Red channel
size[1] = 255; // number of bins for the Green channel
size[2] = 1; // number of bins for the Blue channel
histogramFilter->SetHistogramSize(size);
ITK_TRY_EXPECT_NO_EXCEPTION(histogramFilter->Update());
channel = 1; // green channel
outputFile << "Histogram of the green component" << std::endl;
for (unsigned int bin = 0; bin < histogramSize; ++bin)
{
outputFile << "bin = " << bin << " frequency = ";
outputFile << histogram->GetFrequency(bin, channel) << std::endl;
}
size[0] = 1; // number of bins for the Red channel
size[1] = 1; // number of bins for the Green channel
size[2] = 255; // number of bins for the Blue channel
histogramFilter->SetHistogramSize(size);
ITK_TRY_EXPECT_NO_EXCEPTION(histogramFilter->Update());
channel = 2; // blue channel
outputFile << "Histogram of the blue component" << std::endl;
for (unsigned int bin = 0; bin < histogramSize; ++bin)
{
outputFile << "bin = " << bin << " frequency = ";
outputFile << histogram->GetFrequency(bin, channel) << std::endl;
}
outputFile.close();
return EXIT_SUCCESS;
}
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