Examples/Iterators/ImageRegionIteratorWithIndex.cxx

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//  Software Guide : BeginCommandLineArgs
//     INPUTS:  {VisibleWomanEyeSlice.png}
//     OUTPUTS: {ImageRegionIteratorWithIndexOutput.png}
//  Software Guide : EndCommandLineArgs
 
// Software Guide : BeginLatex
//
// \index{Iterators!speed}
// The ``WithIndex'' family of iterators was designed for algorithms that
// use both the value and the location of image pixels in calculations. Unlike
// \doxygen{ImageRegionIterator}, which calculates an index only when
// asked for, \doxygen{ImageRegionIteratorWithIndex} maintains its
// index location as a member variable that is updated during the increment or
// decrement process. Iteration speed is penalized, but the index queries are
// more efficient.
//
// \index{itk::ImageRegionIteratorWithIndex!example of using|(}
//
// The following example illustrates the use of
// ImageRegionIteratorWithIndex.  The algorithm mirrors
// a 2D image across its $x$-axis (see \doxygen{FlipImageFilter} for an ND
// version).  The algorithm makes extensive use of the \code{GetIndex()}
// method.
//
// We start by including the proper header file.
//
// Software Guide : EndLatex
 
#include "itkImage.h"
#include "itkRGBPixel.h"
// Software Guide : BeginCodeSnippet
#include "itkImageRegionIteratorWithIndex.h"
// Software Guide : EndCodeSnippet
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
 
int
main(int argc, char * argv[])
{
  // Verify the number of parameters on the command line.
  if (argc < 3)
  {
    std::cerr << "Missing parameters. " << std::endl;
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << " inputImageFile outputImageFile" << std::endl;
    return EXIT_FAILURE;
  }
 
  // Software Guide : BeginLatex
  //
  // For this example, we will use an RGB pixel type so that we can process
  // color images. Like most other ITK image iterator,
  // ImageRegionIteratorWithIndex class expects the image type as its
  // single template parameter.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  constexpr unsigned int Dimension = 2;
 
  using RGBPixelType = itk::RGBPixel<unsigned char>;
  using ImageType = itk::Image<RGBPixelType, Dimension>;
 
  using IteratorType = itk::ImageRegionIteratorWithIndex<ImageType>;
  // Software Guide : EndCodeSnippet
 
 
  ImageType::ConstPointer inputImage;
  try
  {
    inputImage = itk::ReadImage<ImageType>(argv[1]);
  }
  catch (const itk::ExceptionObject & err)
  {
    std::cerr << "ExceptionObject caught !" << std::endl;
    std::cerr << err << std::endl;
    return EXIT_FAILURE;
  }
 
  // Software Guide : BeginLatex
  //
  // An \code{ImageType} smart pointer called \code{inputImage} points to the
  // output of the image reader.  After updating the image reader, we can
  // allocate an output image of the same size, spacing, and origin as the
  // input image.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  auto outputImage = ImageType::New();
  outputImage->SetRegions(inputImage->GetRequestedRegion());
  outputImage->CopyInformation(inputImage);
  outputImage->Allocate();
  // Software Guide : EndCodeSnippet
 
  // Software Guide : BeginLatex
  //
  // Next we create the iterator that walks the output image.  This algorithm
  // requires no iterator for the input image.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  IteratorType outputIt(outputImage, outputImage->GetRequestedRegion());
  // Software Guide : EndCodeSnippet
 
  // Software Guide: BeginLatex
  //
  // This axis flipping algorithm works by iterating through the output image,
  // querying the iterator for its index, and copying the value from the input
  // at an index mirrored across the $x$-axis.
  //
  // Software Guide : EndLatex
 
  // Software Guide : BeginCodeSnippet
  ImageType::IndexType requestedIndex =
    outputImage->GetRequestedRegion().GetIndex();
  ImageType::SizeType requestedSize =
    outputImage->GetRequestedRegion().GetSize();
 
  for (outputIt.GoToBegin(); !outputIt.IsAtEnd(); ++outputIt)
  {
    ImageType::IndexType idx = outputIt.GetIndex();
    idx[0] = requestedIndex[0] + requestedSize[0] - 1 - idx[0];
    outputIt.Set(inputImage->GetPixel(idx));
  }
  // Software Guide : EndCodeSnippet
 
  try
  {
    itk::WriteImage(outputImage, argv[2]);
  }
  catch (const itk::ExceptionObject & err)
  {
    std::cerr << "ExceptionObject caught !" << std::endl;
    std::cerr << err << std::endl;
    return EXIT_FAILURE;
  }
 
  // Software Guide : BeginLatex
  //
  // Let's run this example on the image \code{VisibleWomanEyeSlice.png} found
  // in the \code{Examples/Data} directory.
  // Figure~\ref{fig:ImageRegionIteratorWithIndexExample} shows how the
  // original image has been mirrored across its $x$-axis in the output.
  //
  // \begin{figure} \center
  // \includegraphics[width=0.44\textwidth]{VisibleWomanEyeSlice}
  // \includegraphics[width=0.44\textwidth]{ImageRegionIteratorWithIndexOutput}
  // \itkcaption[Using the ImageRegionIteratorWithIndex]{Results of using
  // ImageRegionIteratorWithIndex to mirror an image across an axis. The
  // original image is shown at left.  The mirrored output is shown at right.}
  // \label{fig:ImageRegionIteratorWithIndexExample}
  // \end{figure}
  //
  // \index{itk::ImageRegionIteratorWithIndex!example of using|)}
  //
  // Software Guide : EndLatex
 
  return EXIT_SUCCESS;
}