SphinxExamples/src/Segmentation/ConnectedComponents/LabelConnectComponentsInBinaryImage/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 "itkLiThresholdImageFilter.h"
#include "itkHuangThresholdImageFilter.h"
#include "itkIntermodesThresholdImageFilter.h"
#include "itkIsoDataThresholdImageFilter.h"
#include "itkKittlerIllingworthThresholdImageFilter.h"
#include "itkMaximumEntropyThresholdImageFilter.h"
#include "itkMomentsThresholdImageFilter.h"
#include "itkOtsuThresholdImageFilter.h"
#include "itkRenyiEntropyThresholdImageFilter.h"
#include "itkShanbhagThresholdImageFilter.h"
#include "itkTriangleThresholdImageFilter.h"
#include "itkYenThresholdImageFilter.h"
 
#include "itkConnectedComponentImageFilter.h"
#include "itkLabelToRGBImageFilter.h"
#include "itkImageFileReader.h"
 
#include "itksys/SystemTools.hxx"
#include <sstream>
#include <map>
#ifdef ENABLE_QUICKVIEW
#  include "QuickView.h"
#endif
 
int
main(int argc, char * argv[])
{
  if (argc < 2)
  {
    std::cout << "Usage: " << argv[0];
    std::cout << " inputImageFile";
    std::cerr << std::endl;
    return EXIT_FAILURE;
  }
 
  using InputPixelType = short;
  using OutputPixelType = int;
  using RGBPixelType = itk::RGBPixel<unsigned char>;
 
  using InputImageType = itk::Image<InputPixelType, 2>;
  using OutputImageType = itk::Image<OutputPixelType, 2>;
  using RGBImageType = itk::Image<RGBPixelType, 2>;
 
  using LiFilterType = itk::LiThresholdImageFilter<InputImageType, OutputImageType>;
  using HuangFilterType = itk::HuangThresholdImageFilter<InputImageType, OutputImageType>;
  using IntermodesFilterType = itk::IntermodesThresholdImageFilter<InputImageType, OutputImageType>;
  using IsoDataFilterType = itk::IsoDataThresholdImageFilter<InputImageType, OutputImageType>;
  using KittlerIllingworthFilterType = itk::KittlerIllingworthThresholdImageFilter<InputImageType, OutputImageType>;
  using LiFilterType = itk::LiThresholdImageFilter<InputImageType, OutputImageType>;
  using MaximumEntropyFilterType = itk::MaximumEntropyThresholdImageFilter<InputImageType, OutputImageType>;
  using MomentsFilterType = itk::MomentsThresholdImageFilter<InputImageType, OutputImageType>;
  using OtsuFilterType = itk::OtsuThresholdImageFilter<InputImageType, OutputImageType>;
  using RenyiEntropyFilterType = itk::RenyiEntropyThresholdImageFilter<InputImageType, OutputImageType>;
  using ShanbhagFilterType = itk::ShanbhagThresholdImageFilter<InputImageType, OutputImageType>;
  using TriangleFilterType = itk::TriangleThresholdImageFilter<InputImageType, OutputImageType>;
  using YenFilterType = itk::YenThresholdImageFilter<InputImageType, OutputImageType>;
 
  using ConnectedComponentImageFilterType = itk::ConnectedComponentImageFilter<OutputImageType, OutputImageType>;
  using RGBFilterType = itk::LabelToRGBImageFilter<OutputImageType, RGBImageType>;
 
  const auto input = itk::ReadImage<InputImageType>(argv[1]);
 
#ifdef ENABLE_QUICKVIEW
  QuickView viewer;
  viewer.AddImage(input.GetPointer(), true, itksys::SystemTools::GetFilenameName(argv[1]));
 
  using FilterContainerType =
    std::map<std::string, itk::HistogramThresholdImageFilter<InputImageType, OutputImageType>::Pointer>;
  FilterContainerType filterContainer;
 
  filterContainer["Huang"] = HuangFilterType::New();
  filterContainer["Intermodes"] = IntermodesFilterType::New();
  filterContainer["IsoData"] = IsoDataFilterType::New();
  filterContainer["KittlerIllingworth"] = KittlerIllingworthFilterType::New();
  filterContainer["Li"] = LiFilterType::New();
  filterContainer["MaximumEntropy"] = MaximumEntropyFilterType::New();
  filterContainer["Moments"] = MomentsFilterType::New();
  filterContainer["Otsu"] = OtsuFilterType::New();
  filterContainer["RenyiEntropy"] = RenyiEntropyFilterType::New();
  filterContainer["Shanbhag"] = ShanbhagFilterType::New();
  filterContainer["Triangle"] = TriangleFilterType::New();
  filterContainer["Yen"] = YenFilterType::New();
 
  auto it = filterContainer.begin();
  for (it = filterContainer.begin(); it != filterContainer.end(); ++it)
  {
    (*it).second->SetInsideValue(255);
    (*it).second->SetOutsideValue(0);
    (*it).second->SetNumberOfHistogramBins(25);
    (*it).second->SetInput(input);
    try
    {
      (*it).second->Update();
    }
    catch (const itk::ExceptionObject & err)
    {
      std::cout << "Caught exception" << std::endl;
      std::cout << err << std::endl;
      continue;
    }
    auto connected = ConnectedComponentImageFilterType::New();
    connected->SetInput((*it).second->GetOutput());
 
    auto rgbFilter = RGBFilterType::New();
    rgbFilter->SetInput(connected->GetOutput());
    std::stringstream desc;
    desc << (*it).first << " threshold = " << (*it).second->GetThreshold();
    viewer.AddRGBImage(rgbFilter->GetOutput(), true, desc.str());
  }
 
  viewer.Visualize();
#endif
  return EXIT_SUCCESS;
}