Keep Binary Regions That Meet Specific Properties¶
Synopsis¶
Keep only regions that meet a specified threshold of a specified property.
Results¶
input.mhd¶
output.mhd¶
Code¶
C++¶
#include "itkBinaryStatisticsOpeningImageFilter.h"
#include "itkImageFileWriter.h"
using ImageType = itk::Image<unsigned char, 2>;
void
CreateImage(ImageType::Pointer image1, ImageType::Pointer image2);
int
main(int, char *[])
{
  ImageType::Pointer binaryImage = ImageType::New();
  ImageType::Pointer featureImage = ImageType::New();
  CreateImage(binaryImage, featureImage);
  using BinaryOpeningType = itk::BinaryStatisticsOpeningImageFilter<ImageType, ImageType>;
  BinaryOpeningType::Pointer opening = BinaryOpeningType::New();
  opening->SetInput(binaryImage);
  opening->SetFeatureImage(featureImage);
  opening->SetBackgroundValue(0);
  opening->SetForegroundValue(255);
  opening->SetLambda(150);
  opening->SetAttribute(BinaryOpeningType::LabelObjectType::MEAN);
  opening->Update();
  using WriterType = itk::ImageFileWriter<ImageType>;
  WriterType::Pointer writer = WriterType::New();
  writer->SetFileName("input.mhd");
  writer->SetInput(featureImage);
  writer->Update();
  writer->SetFileName("output.mhd");
  writer->SetInput(opening->GetOutput());
  writer->Update();
  return EXIT_SUCCESS;
}
void
CreateImage(ImageType::Pointer image1, ImageType::Pointer image2)
{
  // Create an image with 2 connected components
  ImageType::RegionType region;
  ImageType::IndexType  start;
  start[0] = 0;
  start[1] = 0;
  ImageType::SizeType size;
  size[0] = 200;
  size[1] = 200;
  region.SetSize(size);
  region.SetIndex(start);
  image1->SetRegions(region);
  image1->Allocate();
  image1->FillBuffer(0);
  image2->SetRegions(region);
  image2->Allocate();
  image2->FillBuffer(0);
  // Make a square
  for (unsigned int r = 20; r < 80; r++)
  {
    for (unsigned int c = 30; c < 100; c++)
    {
      ImageType::IndexType pixelIndex;
      pixelIndex[0] = r;
      pixelIndex[1] = c;
      image1->SetPixel(pixelIndex, 255);
      image2->SetPixel(pixelIndex, 100);
    }
  }
  // Make another square
  for (unsigned int r = 100; r < 130; r++)
  {
    for (unsigned int c = 115; c < 160; c++)
    {
      ImageType::IndexType pixelIndex;
      pixelIndex[0] = r;
      pixelIndex[1] = c;
      image1->SetPixel(pixelIndex, 255);
      image2->SetPixel(pixelIndex, 200);
    }
  }
}
Classes demonstrated¶
- 
template<typename 
TInputImage, typenameTFeatureImage>
classBinaryStatisticsOpeningImageFilter: public itk::ImageToImageFilter<TInputImage, TInputImage> Remove objects based on the value of their Statistics attribute.
The BinaryStatisticsOpeningImageFilter removes the objects in a binary image with an attribute value smaller or greater than a threshold called Lambda. The attributes are those of the StatisticsLabelObject.
This implementation was taken from the Insight Journal paper: https://www.insight-journal.org/browse/publication/176
- Author
 Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.
- See
 StatisticsLabelObject, LabelStatisticsOpeningImageFilter, BinaryStatisticsOpeningImageFilter
- ITK Sphinx Examples:
 

