SphinxExamples/src/Segmentation/Watersheds/MorphologicalWatershedSegmentation/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 <iostream>
 
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkScalarToRGBPixelFunctor.h"
#include "itkUnaryFunctorImageFilter.h"
#include "itkVectorGradientAnisotropicDiffusionImageFilter.h"
#include "itkVectorMagnitudeImageFilter.h"
#include "itkMorphologicalWatershedImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkScalarToRGBColormapImageFilter.h"
#include "itkGradientMagnitudeImageFilter.h"
 
// Run with:
// ./WatershedImageFilter threshold level
// e.g.
// ./WatershedImageFilter 0.005 .5
// (A rule of thumb is to set the Threshold to be about 1 / 100 of the Level.)
 
using UnsignedCharImageType = itk::Image<unsigned char, 2>;
using FloatImageType = itk::Image<float, 2>;
using RGBPixelType = itk::RGBPixel<unsigned char>;
using RGBImageType = itk::Image<RGBPixelType, 2>;
using LabeledImageType = itk::Image<unsigned long, 2>;
 
static void
CreateImage(UnsignedCharImageType::Pointer image);
static void
PerformSegmentation(FloatImageType::Pointer image, const float threshold, const float level);
 
int
main(int argc, char * argv[])
{
  // Verify arguments
  if (argc < 3)
  {
    std::cerr << "Parameters " << std::endl;
    std::cerr << " threshold level" << std::endl;
    return 1;
  }
 
  // Parse arguments
  std::string       strThreshold = argv[1];
  float             threshold = 0.0;
  std::stringstream ssThreshold;
  ssThreshold << strThreshold;
  ssThreshold >> threshold;
 
  std::string       strLevel = argv[2];
  float             level = 0.0;
  std::stringstream ssLevel;
  ssLevel << strLevel;
  ssLevel >> level;
 
  // Output arguments
  std::cout << "Running with:" << std::endl
            << "Threshold: " << threshold << std::endl
            << "Level: " << level << std::endl;
 
  auto image = UnsignedCharImageType::New();
  CreateImage(image);
 
  using GradientMagnitudeImageFilterType = itk::GradientMagnitudeImageFilter<UnsignedCharImageType, FloatImageType>;
  auto gradientMagnitudeImageFilter = GradientMagnitudeImageFilterType::New();
  gradientMagnitudeImageFilter->SetInput(image);
  gradientMagnitudeImageFilter->Update();
 
  // Custom parameters
  PerformSegmentation(gradientMagnitudeImageFilter->GetOutput(), threshold, level);
 
  return EXIT_SUCCESS;
}
 
 
void
CreateImage(UnsignedCharImageType::Pointer image)
{
  // Create a white image with 3 dark regions of different values
 
  itk::Index<2> start;
  start.Fill(0);
 
  itk::Size<2> size;
  size.Fill(200);
 
  itk::ImageRegion<2> region(start, size);
  image->SetRegions(region);
  image->Allocate();
  image->FillBuffer(255);
 
  itk::ImageRegionIterator<UnsignedCharImageType> imageIterator(image, region);
 
  while (!imageIterator.IsAtEnd())
  {
    if (imageIterator.GetIndex()[0] > 20 && imageIterator.GetIndex()[0] < 50 && imageIterator.GetIndex()[1] > 20 &&
        imageIterator.GetIndex()[1] < 50)
      imageIterator.Set(50);
 
    ++imageIterator;
  }
 
  imageIterator.GoToBegin();
 
  while (!imageIterator.IsAtEnd())
  {
    if (imageIterator.GetIndex()[0] > 60 && imageIterator.GetIndex()[0] < 80 && imageIterator.GetIndex()[1] > 60 &&
        imageIterator.GetIndex()[1] < 80)
      imageIterator.Set(100);
 
    ++imageIterator;
  }
 
  imageIterator.GoToBegin();
 
  while (!imageIterator.IsAtEnd())
  {
    if (imageIterator.GetIndex()[0] > 100 && imageIterator.GetIndex()[0] < 130 && imageIterator.GetIndex()[1] > 100 &&
        imageIterator.GetIndex()[1] < 130)
      imageIterator.Set(150);
 
    ++imageIterator;
  }
 
  itk::WriteImage(image, "input.png");
}
 
void
PerformSegmentation(FloatImageType::Pointer image, const float threshold, const float level)
{
  using MorphologicalWatershedFilterType = itk::MorphologicalWatershedImageFilter<FloatImageType, LabeledImageType>;
  auto watershedFilter = MorphologicalWatershedFilterType::New();
  watershedFilter->SetLevel(level);
  watershedFilter->SetInput(image);
  watershedFilter->Update();
 
  using RGBFilterType = itk::ScalarToRGBColormapImageFilter<LabeledImageType, RGBImageType>;
  auto colormapImageFilter = RGBFilterType::New();
  colormapImageFilter->SetInput(watershedFilter->GetOutput());
  colormapImageFilter->SetColormap(itk::ScalarToRGBColormapImageFilterEnums::RGBColormapFilter::Jet);
  colormapImageFilter->Update();
 
  std::stringstream ss;
  ss << "output_" << threshold << "_" << level << ".png";
 
  itk::WriteImage(colormapImageFilter->GetOutput(), ss.str());
}