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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: DanielssonDistanceMapImageFilter.cxx,v $
  Language:  C++
  Date:      $Date: 2005/11/19 16:31:49 $
  Version:   $Revision: 1.27 $

  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:  {FivePoints.png}
//    OUTPUTS: {DanielssonDistanceMapImageFilterOutput1.png}
//    OUTPUTS: {DanielssonDistanceMapImageFilterOutput2.png}
//    OUTPUTS: {DanielssonDistanceMapImageFilterOutput3.mhd}
//  Software Guide : EndCommandLineArgs

// Software Guide : BeginLatex
//
// This example illustrates the use of the
// \doxygen{DanielssonDistanceMapImageFilter}.  This filter generates a
// distance map from the input image using the algorithm developed by
// Danielsson \cite{Danielsson1980}. As secondary outputs, a Voronoi
// partition of the input elements is produced, as well as a vector image
// with the components of the distance vector to the closest point. The input
// to the map is assumed to be a set of points on the input image. Each
// point/pixel is considered to be a separate entity even if they share the
// same gray level value.
//
// \index{itk::Danielsson\-Distance\-Map\-Image\-Filter!Instantiation}
// \index{itk::Danielsson\-Distance\-Map\-Image\-Filter!Header}
//
// The first step required to use this filter is to include its header file. 
//
// Software Guide : EndLatex 

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

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


int main( int argc, char * argv[] )
{
  if( argc < 5 )
    {
    std::cerr << "Usage: " << argv[0];
    std::cerr << " inputImageFile outputDistanceMapImageFile ";
    std::cerr << " outputVoronoiMapImageFilter ";
    std::cerr << " outputVectorMapImageFilter ";
    std::cerr << std::endl;  
    return EXIT_FAILURE;
    }
  
  //  Software Guide : BeginLatex
  //
  //  Then we must decide what pixel types to use for the input and output
  //  images. Since the output will contain distances measured in pixels, the
  //  pixel type should be able to represent at least the width of the image,
  //  or said in $N-D$ terms, the maximum extension along all the dimensions.
  //  The input and output image types are now defined using their respective
  //  pixel type and dimension.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  typedef  unsigned char   InputPixelType;
  typedef  unsigned short  OutputPixelType;
  typedef itk::Image< InputPixelType,  2 >   InputImageType;
  typedef itk::Image< OutputPixelType, 2 >   OutputImageType;
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //
  //  The filter type can be instantiated using the input and output image
  //  types defined above. A filter object is created with the \code{New()}
  //  method.
  //
  //  \index{itk::Danielsson\-Distance\-Map\-Image\-Filter!instantiation}
  //  \index{itk::Danielsson\-Distance\-Map\-Image\-Filter!New()}
  //  \index{itk::Danielsson\-Distance\-Map\-Image\-Filter!Pointer}
  //
  //  Software Guide : EndLatex 

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


  typedef itk::RescaleIntensityImageFilter< 
                   OutputImageType, OutputImageType > RescalerType;
  RescalerType::Pointer scaler = RescalerType::New();

  //
  // Reader and Writer types are instantiated.
  //
  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
  //
  //  The input to the filter is taken from a reader and its output is passed
  //  to a \doxygen{RescaleIntensityImageFilter} and then to a writer.
  //
  //  \index{itk::Danielsson\-Distance\-Map\-Image\-Filter!SetInput()}
  //  \index{itk::Danielsson\-Distance\-Map\-Image\-Filter!GetOutput()}
  //
  //  Software Guide : EndLatex 

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


  scaler->SetOutputMaximum( 65535L );
  scaler->SetOutputMinimum(     0L );


  //  Software Guide : BeginLatex
  //
  //  The type of input image has to be specified. In this case, a binary
  //  image is selected.
  //
  //  \index{itk::Danielsson\-Distance\-MapImage\-Filter!InputIsBinaryOn()}
  //
  //  Software Guide : EndLatex 

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


  //  Software Guide : BeginLatex
  //  
  // \begin{figure}
  // \center
  // \includegraphics[width=0.32\textwidth]{FivePoints.eps}
  // \includegraphics[width=0.32\textwidth]{DanielssonDistanceMapImageFilterOutput1.eps}
  // \includegraphics[width=0.32\textwidth]{DanielssonDistanceMapImageFilterOutput2.eps}
  // \itkcaption[DanielssonDistanceMapImageFilter
  // output]{DanielssonDistanceMapImageFilter output. Set of pixels, distance
  // map and Voronoi partition.}
  // \label{fig:DanielssonDistanceMapImageFilterInputOutput}
  // \end{figure}
  //
  //  Figure \ref{fig:DanielssonDistanceMapImageFilterInputOutput} illustrates
  //  the effect of this filter on a binary image with a set of points. The
  //  input image is shown at left, the distance map at the center and the
  //  Voronoi partition at right. This filter computes distance maps in
  //  N-dimensions and is therefore capable of producing $N-D$ Voronoi
  //  partitions.
  //
  //  \index{Voronoi partitions}
  //  \index{Voronoi partitions!itk::Danielsson\-Distance\-Map\-Image\-Filter}
  //
  //  Software Guide : EndLatex 


  writer->Update();
  const char * voronoiMapFileName = argv[3];


  //  Software Guide : BeginLatex
  //
  //  The Voronoi map is obtained with the \code{GetVoronoiMap()} method. In
  //  the lines below we connect this output to the intensity rescaler and
  //  save the result in a file.
  //
  //  \index{itk::Danielsson\-Distance\-Map\-Image\-Filter!GetVoronoiMap()}
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  scaler->SetInput( filter->GetVoronoiMap() );
  writer->SetFileName( voronoiMapFileName );
  writer->Update();
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  The distance filter also produces an image of \doxygen{Offset} pixels
  //  representing the vectorial distance to the closest object in the scene.
  //  The type of this output image is defined by the VectorImageType
  //  trait of the filter type.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  typedef FilterType::VectorImageType   OffsetImageType;
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  We can use this type for instantiating an \doxygen{ImageFileWriter} type
  //  and creating an object of this class in the following lines.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  typedef itk::ImageFileWriter< OffsetImageType >  WriterOffsetType;
  WriterOffsetType::Pointer offsetWriter = WriterOffsetType::New();
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  The output of the distance filter can be connected as input to the
  //  writer.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  offsetWriter->SetInput(  filter->GetVectorDistanceMap()  );
  // Software Guide : EndCodeSnippet


  offsetWriter->SetFileName( argv[4]  );


  //  Software Guide : BeginLatex
  //  
  //  Execution of the writer is triggered by the invocation of the
  //  \code{Update()} method. Since this method can potentially throw
  //  exceptions it must be placed in a \code{try/catch} block.
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  try
    {
    offsetWriter->Update();
    }
  catch( itk::ExceptionObject exp )
    {
    std::cerr << "Exception caught !" << std::endl;
    std::cerr <<     exp    << std::endl;
    }
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //  
  //  Note that only the \doxygen{MetaImageIO} class supports reading and
  //  writing images of pixel type \doxygen{Offset}.
  //
  //  Software Guide : EndLatex 

  return EXIT_SUCCESS;
}

