Add Noise To Binary Image#

Synopsis#

Add noise to a binary image.

Results#

Output:

Number of random samples: 105062

Code#

C++#

#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageRandomNonRepeatingIteratorWithIndex.h"
#include "itkImageFileWriter.h"
#include "itkMersenneTwisterRandomVariateGenerator.h"

int
main(int argc, char * argv[])
{
  if (argc < 3)
  {
    std::cerr << "Usage: " << argv[0] << " inputFile outputFile [percent]" << std::endl;
    return EXIT_FAILURE;
  }
  double percent = .1;
  if (argc > 3)
  {
    percent = std::stod(argv[3]);
    if (percent >= 1.0)
    {
      percent /= 100.0;
    }
  }
  using ImageType = itk::Image<unsigned char, 2>;
  using IteratorType = itk::ImageRandomNonRepeatingIteratorWithIndex<ImageType>;

  const auto input = itk::ReadImage<ImageType>(argv[1]);

  // At x% of the pixels, add a uniform random value between 0 and 255
  IteratorType it(input, input->GetLargestPossibleRegion());
  it.SetNumberOfSamples(input->GetLargestPossibleRegion().GetNumberOfPixels() * percent);
  std::cout << "Number of random samples: " << it.GetNumberOfSamples() << std::endl;
  using GeneratorType = itk::Statistics::MersenneTwisterRandomVariateGenerator;
  auto random = GeneratorType::New();

  it.GoToBegin();
  while (!it.IsAtEnd())
  {
    it.Set(random->GetUniformVariate(0, 255));
    ++it;
  }

  itk::WriteImage(input, argv[2]);

  return EXIT_SUCCESS;
}

Classes demonstrated#

template<typename TImage> class ImageRandomNonRepeatingIteratorWithIndex : public itk::ImageRandomNonRepeatingConstIteratorWithIndex<TImage>

A multi-dimensional image iterator that visits image pixels within a region in a random order, without repeating.

This class was contributed by Rupert Brooks, McGill Centre for Intelligent Machines, Montreal, Canada. It is heavily based on the ImageRandomIterator class.

This iterator is a subclass of itk::ImageRandomNonRepeatingConstIteratorWithIndex that adds write-access functionality. Please see itk::ImageRandomNonRepeatingConstIteratorWithIndex for more information.

See also

ImageConstIterator

See also

ConditionalConstIterator

See also

ConstNeighborhoodIterator

See also

ConstShapedNeighborhoodIterator

See also

ConstSliceIterator

See also

CorrespondenceDataStructureIterator

See also

FloodFilledFunctionConditionalConstIterator

See also

FloodFilledImageFunctionConditionalConstIterator

See also

FloodFilledImageFunctionConditionalIterator

See also

FloodFilledSpatialFunctionConditionalConstIterator

See also

FloodFilledSpatialFunctionConditionalIterator

See also

ImageConstIterator

See also

ImageConstIteratorWithIndex

See also

ImageIterator

See also

ImageIteratorWithIndex

See also

ImageRandomNonRepeatingConstIteratorWithIndex

See also

ImageRandomNonRepeatingIteratorWithIndex

See also

ImageRandomConstIteratorWithIndex

See also

ImageRandomIteratorWithIndex

See also

ImageRegionConstIterator

See also

ImageRegionConstIteratorWithIndex

See also

ImageRegionExclusionConstIteratorWithIndex

See also

ImageRegionExclusionIteratorWithIndex

See also

ImageRegionIterator

See also

ImageRegionIteratorWithIndex

See also

ImageRegionReverseConstIterator

See also

ImageRegionReverseIterator

See also

ImageReverseConstIterator

See also

ImageReverseIterator

See also

ImageSliceConstIteratorWithIndex

See also

ImageSliceIteratorWithIndex

See also

NeighborhoodIterator

See also

PathConstIterator

See also

PathIterator

See also

ShapedNeighborhoodIterator

See also

SliceIterator

See also

ImageConstIteratorWithIndex

MORE INFORMATION

For a complete description of the ITK Image Iterators and their API, please see the Iterators chapter in the ITK Software Guide. The ITK Software Guide is available in print and as a free .pdf download from https://www.itk.org.

Author

Rupert Brooks, McGill Centre for Intelligent Machines. Canada

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