/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: ImageReadExtractWrite.cxx,v $
  Language:  C++
  Date:      $Date: 2005/08/27 01:46:10 $
  Version:   $Revision: 1.16 $

  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

#ifdef __BORLANDC__
#define ITK_LEAN_AND_MEAN
#endif

//  Software Guide : BeginLatex
//
//  This example illustrates the common task of extracting a 2D slice from a
//  3D volume. This is typically used for display purposes and for expediting
//  user feedback in interactive programs. Here we simply read a 3D volume,
//  extract one of its slices and save it as a 2D image. Note that caution
//  should be used when working with 2D slices from a 3D dataset, since for
//  most image processing operations, the application of a filter on a
//  extracted slice is not equivalent to first applying the filter in the
//  volume and then extracting the slice.
//
//  In this example we start by including the appropriate header files.
//
//  Software Guide : EndLatex 

// Software Guide : BeginCodeSnippet
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
// Software Guide : EndCodeSnippet


//  Software Guide : BeginLatex
//  
//  The filter used to extract a region from an image is the
//  \doxygen{ExtractImageFilter}. Its header is included below.  This filter
//  is capable of extracting $(N-1)$-dimensional images from $N$-dimensional
//  ones.
//
//  \index{itk::ExtractImageFilter!header}
//
//  Software Guide : EndLatex 

// Software Guide : BeginCodeSnippet
#include "itkExtractImageFilter.h"
// Software Guide : EndCodeSnippet


#include "itkImage.h"


int main( int argc, char ** argv )
{
  // Verify the number of parameters in the command line
  if( argc < 3 )
    {
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << " input3DImageFile  output2DImageFile " << std::endl;
    std::cerr << " sliceNumber " << std::endl;
    return EXIT_FAILURE;
    }


  //  Software Guide : BeginLatex
  //
  //  Image types are defined below. Note that the input image type is $3D$ and
  //  the output image type is $2D$.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  typedef signed short        InputPixelType;
  typedef signed short        OutputPixelType;

  typedef itk::Image< InputPixelType,  3 >    InputImageType;
  typedef itk::Image< OutputPixelType, 2 >    OutputImageType;
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  The types for the \doxygen{ImageFileReader} and \doxygen{ImageFileWriter}
  //  are instantiated using the image types.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  typedef itk::ImageFileReader< InputImageType  >  ReaderType;
  typedef itk::ImageFileWriter< OutputImageType >  WriterType;
  // Software Guide : EndCodeSnippet


  // Here we recover the file names from the command line arguments
  //
  const char * inputFilename  = argv[1];
  const char * outputFilename = argv[2];


  //  Software Guide : BeginLatex
  //
  //  Below, we create the reader and writer  using the New() method and
  //  assigning the result to a \doxygen{SmartPointer}.
  //
  //  \index{itk::ImageFileReader!New()}
  //  \index{itk::ImageFileWriter!New()}
  //  \index{itk::ImageFileReader!SmartPointer}
  //  \index{itk::ImageFileWriter!SmartPointer}
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  ReaderType::Pointer reader = ReaderType::New();
  WriterType::Pointer writer = WriterType::New();
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //
  //  The name of the file to be read or written is passed with the
  //  SetFileName() method. 
  //
  //  \index{itk::ImageFileReader!SetFileName()}
  //  \index{itk::ImageFileWriter!SetFileName()}
  //  \index{SetFileName()!itk::ImageFileReader}
  //  \index{SetFileName()!itk::ImageFileWriter}
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  reader->SetFileName( inputFilename  );
  writer->SetFileName( outputFilename );
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  The ExtractImageFilter type is instantiated using the input and
  //  output image types. A filter object is created with the New()
  //  method and assigned to a SmartPointer.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  typedef itk::ExtractImageFilter< InputImageType, OutputImageType > FilterType;
  FilterType::Pointer filter = FilterType::New();
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  The ExtractImageFilter requires a region to be defined by the
  //  user. The region is specified by an \doxygen{Index} indicating the
  //  pixel where the region starts and an \doxygen{Size} indication how many
  //  pixels the region has along each dimension. In order to extract a $2D$
  //  image from a $3D$ data set, it is enough to set the size of the region
  //  to $0$ in one dimension.  This will indicate to
  //  ExtractImageFilter that a dimensional reduction has been
  //  specified. Here we take the region from the largest possible region of
  //  the input image. Note that Update() is being called first on the
  //  reader, since otherwise the output would have invalid data.
  //  
  //  Software Guide : EndLatex 

  
  // Software Guide : BeginCodeSnippet
  reader->Update();
  InputImageType::RegionType inputRegion =
           reader->GetOutput()->GetLargestPossibleRegion();
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  We take the size from the region and collapse the size in the $Z$
  //  component by setting its value to $0$. This will indicate to the
  //  ExtractImageFilter that the output image should have a
  //  dimension less than the input image.
  //  
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  InputImageType::SizeType size = inputRegion.GetSize();
  size[2] = 0;
  // Software Guide : EndCodeSnippet
 
  //  Software Guide : BeginLatex
  //  
  //  Note that in this case we are extracting a $Z$ slice, and for that
  //  reason, the dimension to be collapsed in the one with index $2$. You
  //  may keep in mind the association of index components
  //  $\{X=0,Y=1,Z=2\}$. If we were interested in extracting a slice
  //  perpendicular to the $Y$ axis we would have set \code{size[1]=0;}.
  //  
  //  Software Guide : EndLatex 


  //  Software Guide : BeginLatex
  //  
  //  Then, we take the index from the region and set its $Z$ value to the
  //  slice number we want to extract. In this example we obtain the slice
  //  number from the command line arguments.
  //  
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  InputImageType::IndexType start = inputRegion.GetIndex();
  const unsigned int sliceNumber = atoi( argv[3] );
  start[2] = sliceNumber;
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  Finally, an \doxygen{ImageRegion} object is created and initialized with
  //  the start and size we just prepared using the slice information.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  InputImageType::RegionType desiredRegion;
  desiredRegion.SetSize(  size  );
  desiredRegion.SetIndex( start );
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  Then the region is passed to the filter using the
  //  SetExtractionRegion() method.
  //
  //  \index{itk::ExtractImageFilter!SetExtractionRegion()}
  //
  //  Software Guide : EndLatex 


  // Software Guide : BeginCodeSnippet
  filter->SetExtractionRegion( desiredRegion );
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //
  //  Below we connect the reader, filter and writer to form the data
  //  processing pipeline.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  filter->SetInput( reader->GetOutput() );
  writer->SetInput( filter->GetOutput() );
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  Finally we execute the pipeline by invoking Update() on the writer. The
  //  call is placed in a \code{try/catch} block in case exceptions are
  //  thrown.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  try 
    { 
    writer->Update(); 
    } 
  catch( itk::ExceptionObject & err ) 
    { 
    std::cerr << "ExceptionObject caught !" << std::endl; 
    std::cerr << err << std::endl; 
    return EXIT_FAILURE;
    } 
  // Software Guide : EndCodeSnippet


  return EXIT_SUCCESS;
}



