Examples/SpatialObjects/ImageMaskSpatialObject.cxx

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 *  Copyright NumFOCUS
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 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
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// Disable warning for long symbol names in this file only
 
// Software Guide : BeginLatex
//
// \index{itk::ImageMaskSpatialObject}
//
// An \doxygen{ImageMaskSpatialObject} is similar to the
// \doxygen{ImageSpatialObject} and derived from it.
// However, the main difference is that the \code{IsInsideInWorldSpace()}
// returns true if the pixel intensity in the image is not zero.
//
// The supported pixel types does not include \doxygen{RGBPixel},
// \doxygen{RGBAPixel}, etc.
// So far it only allows to manage images of simple types like unsigned short,
// unsigned int, or \doxygen{Vector}.
// Let's begin by including the appropriate header file.
//
// Software Guide : EndLatex
 
// Software Guide : BeginCodeSnippet
#include "itkImageMaskSpatialObject.h"
// Software Guide : EndCodeSnippet
 
#include "itkImage.h"
#include "itkImageRegionIterator.h"
#include "itkAffineTransform.h"
 
int
main(int, char *[])
{
  // Software Guide : BeginLatex
  //
  // The \code{ImageMaskSpatialObject} is templated over the dimensionality.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  using ImageMaskSpatialObject = itk::ImageMaskSpatialObject<3>;
  // Software Guide : EndCodeSnippet
 
  // Software Guide : BeginLatex
  //
  // Next we create an \doxygen{Image} of size 50x50x50 filled with zeros
  // except a bright square in the middle which defines the mask.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  using PixelType = ImageMaskSpatialObject::PixelType;
  using ImageType = ImageMaskSpatialObject::ImageType;
  using Iterator = itk::ImageRegionIterator<ImageType>;
 
  auto                  image = ImageType::New();
  ImageType::SizeType   size = { { 50, 50, 50 } };
  ImageType::IndexType  index = { { 0, 0, 0 } };
  ImageType::RegionType region;
 
  region.SetSize(size);
  region.SetIndex(index);
 
  image->SetRegions(region);
  image->Allocate(true); // initialize buffer to zero
 
  ImageType::RegionType insideRegion;
  ImageType::SizeType   insideSize = { { 30, 30, 30 } };
  ImageType::IndexType  insideIndex = { { 10, 10, 10 } };
  insideRegion.SetSize(insideSize);
  insideRegion.SetIndex(insideIndex);
 
  Iterator it(image, insideRegion);
  it.GoToBegin();
 
  while (!it.IsAtEnd())
  {
    it.Set(itk::NumericTraits<PixelType>::max());
    ++it;
  }
  // Software Guide : EndCodeSnippet
 
  // Software Guide : BeginLatex
  //
  // Then, we create an \code{ImageMaskSpatialObject}.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  auto maskSO = ImageMaskSpatialObject::New();
  // Software Guide : EndCodeSnippet
 
  // Software Guide : BeginLatex
  //
  // We then pass the corresponding pointer to the image.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  maskSO->SetImage(image);
  maskSO->Update();
  // Software Guide : EndCodeSnippet
 
  // Software Guide : BeginLatex
  //
  // We can then test if a physical \doxygen{Point} is inside or outside the
  // mask image. This is particularly useful during the registration process
  // when only a part of the image should be used to compute the metric.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  ImageMaskSpatialObject::PointType inside;
  inside.Fill(20);
  std::cout << "Is my point " << inside << " inside my mask? "
            << maskSO->IsInsideInWorldSpace(inside) << std::endl;
  ImageMaskSpatialObject::PointType outside;
  outside.Fill(45);
  std::cout << "Is my point " << outside << " outside my mask? "
            << !maskSO->IsInsideInWorldSpace(outside) << std::endl;
  // Software Guide : EndCodeSnippet
 
  return EXIT_SUCCESS;
}