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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: DerivativeImageFilter.cxx,v $
  Language:  C++
  Date:      $Date: 2005/08/31 13:55:21 $
  Version:   $Revision: 1.23 $

  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 : BeginCommandLineArgs
//    INPUTS:  {BrainProtonDensitySlice.png}
//    OUTPUTS: {DerivativeImageFilterFloatOutput.mhd}
//    OUTPUTS: {DerivativeImageFilterOutput.png}
//    1 0
//  Software Guide : EndCommandLineArgs

//  Software Guide : BeginLatex
//
//  The \doxygen{DerivativeImageFilter} is used for computing the partial
//  derivative of an image, the derivative of an image along a particular axial
//  direction.
//
//  \index{itk::DerivativeImageFilter}
//
//  Software Guide : EndLatex 


#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkRescaleIntensityImageFilter.h"



//  Software Guide : BeginLatex
//
//  The header file corresponding to this filter should be included first.
//
//  \index{itk::DerivativeImageFilter!header}
//
//  Software Guide : EndLatex 


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


int main( int argc, char * argv[] )
{
  if( argc < 6 )
    {
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << "  inputImageFile   outputImageFile  normalizedOutputImageFile ";
    std::cerr << " derivativeOrder direction" << std::endl;
    return EXIT_FAILURE;
    }


  //  Software Guide : BeginLatex
  //
  //  Next, the pixel types for the input and output images must be defined and, with
  //  them, the image types can be instantiated. Note that it is important to
  //  select a signed type for the image, since the values of the derivatives
  //  will be positive as well as negative.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  typedef   float  InputPixelType;
  typedef   float  OutputPixelType;

  const unsigned int Dimension = 2;

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


  typedef itk::ImageFileReader< InputImageType  >  ReaderType;
  typedef itk::ImageFileWriter< OutputImageType >  WriterType;

  ReaderType::Pointer reader = ReaderType::New();
  WriterType::Pointer writer = WriterType::New();

  reader->SetFileName( argv[1] );
  writer->SetFileName( argv[2] );

  //  Software Guide : BeginLatex
  //
  //  Using the image types, it is now possible to define the filter type
  //  and create the filter object. 
  //
  //  \index{itk::DerivativeImageFilter!instantiation}
  //  \index{itk::DerivativeImageFilter!New()}
  //  \index{itk::DerivativeImageFilter!Pointer}
  // 
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  typedef itk::DerivativeImageFilter<
               InputImageType, OutputImageType >  FilterType;

  FilterType::Pointer filter = FilterType::New();
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //
  //  The order of the derivative is selected with the \code{SetOrder()}
  //  method.  The direction along which the derivative will be computed is
  //  selected with the \code{SetDirection()} method.
  //
  //  \index{itk::DerivativeImageFilter!SetOrder()}
  //  \index{itk::DerivativeImageFilter!SetDirection()}
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  filter->SetOrder(     atoi( argv[4] ) );
  filter->SetDirection( atoi( argv[5] ) );
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //
  //  The input to the filter can be taken from any other filter, for example
  //  a reader. The output can be passed down the pipeline to other filters,
  //  for example, a writer. An update call on any downstream filter will
  //  trigger the execution of the derivative filter.
  //
  //  \index{itk::DerivativeImageFilter!SetInput()}
  //  \index{itk::DerivativeImageFilter!GetOutput()}
  //
  //  Software Guide : EndLatex 


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


  //  Software Guide : BeginLatex
  // 
  // \begin{figure}
  // \center
  // \includegraphics[width=0.44\textwidth]{BrainProtonDensitySlice.eps}
  // \includegraphics[width=0.44\textwidth]{DerivativeImageFilterOutput.eps}
  // \itkcaption[Effect of the Derivative filter.]{Effect of the Derivative filter
  // on a slice from a MRI proton density brain image.}
  // \label{fig:DerivativeImageFilterOutput}
  // \end{figure}
  //
  //  Figure \ref{fig:DerivativeImageFilterOutput} illustrates the effect of
  //  the DerivativeImageFilter on a slice of MRI brain image. The derivative
  //  is taken along the $x$ direction.  The sensitivity to noise in the image
  //  is evident from this result.
  //
  //  Software Guide : EndLatex 


  typedef itk::Image< unsigned char, Dimension >  WriteImageType;

  typedef itk::RescaleIntensityImageFilter< 
                                  OutputImageType,
                                  WriteImageType >    NormalizeFilterType;

  typedef itk::ImageFileWriter< WriteImageType >       NormalizedWriterType;

  NormalizeFilterType::Pointer normalizer = NormalizeFilterType::New();
  NormalizedWriterType::Pointer normalizedWriter = NormalizedWriterType::New();

  normalizer->SetInput( filter->GetOutput() );
  normalizedWriter->SetInput( normalizer->GetOutput() );

  normalizer->SetOutputMinimum(   0 );
  normalizer->SetOutputMaximum( 255 );

  normalizedWriter->SetFileName( argv[3] );
  normalizedWriter->Update();

  return EXIT_SUCCESS;
}

