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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: ImageRegionIteratorWithIndex.cxx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
// 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 -1;
}
// 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
const unsigned int Dimension = 2;
typedef itk::RGBPixel< unsigned char > RGBPixelType;
typedef itk::Image< RGBPixelType, Dimension > ImageType;
typedef itk::ImageRegionIteratorWithIndex< ImageType > IteratorType;
// Software Guide : EndCodeSnippet
typedef itk::ImageFileReader< ImageType > ReaderType;
typedef itk::ImageFileWriter< ImageType > WriterType;
ImageType::ConstPointer inputImage;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
try
{
reader->Update();
inputImage = reader->GetOutput();
}
catch ( itk::ExceptionObject &err)
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return -1;
}
// 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
ImageType::Pointer 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
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( argv[2] );
writer->SetInput(outputImage);
try
{
writer->Update();
}
catch ( itk::ExceptionObject &err)
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return -1;
}
// 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.eps}
// \includegraphics[width=0.44\textwidth]{ImageRegionIteratorWithIndexOutput.eps}
// \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 0;
}
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