SphinxExamples/src/Filtering/ImageIntensity/NormalizeImage/Code.cxx

/*=========================================================================
 *
 *  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 "itkImage.h"
#include "itkImageFileReader.h"
#include "itkNormalizeImageFilter.h"
#include "itkStatisticsImageFilter.h"
 
#ifdef ENABLE_QUICKVIEW
#  include "QuickView.h"
#endif
 
#include <iomanip>
 
int
main(int argc, char * argv[])
{
  if (argc < 2)
  {
    std::cerr << "Usage: " << argv[0] << " filename" << std::endl;
    return EXIT_FAILURE;
  }
 
  using FloatImageType = itk::Image<double, 2>;
 
  const auto input = itk::ReadImage<FloatImageType>(argv[1]);
 
  using NormalizeFilterType = itk::NormalizeImageFilter<FloatImageType, FloatImageType>;
  auto normalizeFilter = NormalizeFilterType::New();
  normalizeFilter->SetInput(input);
 
  using StatisticsFilterType = itk::StatisticsImageFilter<FloatImageType>;
  auto statistics1 = StatisticsFilterType::New();
  statistics1->SetInput(input);
 
  auto statistics2 = StatisticsFilterType::New();
  statistics2->SetInput(normalizeFilter->GetOutput());
 
#ifdef ENABLE_QUICKVIEW
  QuickView viewer;
 
  std::stringstream desc1;
  statistics1->Update();
  desc1 << itksys::SystemTools::GetFilenameName(argv[1]) << "\nMean: " << statistics1->GetMean()
        << " Variance: " << statistics1->GetVariance();
  viewer.AddImage(input.GetPointer(), true, desc1.str());
 
  std::stringstream desc2;
  statistics2->Update();
  desc2 << "Normalize"
        << "\nMean: " << std::fixed << std::setprecision(2) << statistics2->GetMean()
        << " Variance: " << statistics2->GetVariance();
  viewer.AddImage(normalizeFilter->GetOutput(), true, desc2.str());
 
  viewer.Visualize();
#endif
  return EXIT_SUCCESS;
}