File: ZeroCrossingBasedEdgeDetectionImageFilter.cxx

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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    ZeroCrossingBasedEdgeDetectionImageFilter.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

#ifdef __BORLANDC__
#define ITK_LEAN_AND_MEAN
#endif

//  Software Guide : BeginCommandLineArgs
//    INPUTS: {BrainProtonDensitySlice.png}
//    OUTPUTS: {ZeroCrossingBasedEdgeDetectionImageFilter.png}
//    1.0  0.1
//  Software Guide : EndCommandLineArgs


//  Software Guide : BeginLatex
//
//  The \doxygen{ZeroCrossingBasedEdgeDetectionImageFilter} performs
//  edge detection by combining a sequence of Gaussian smoothing,
//  Laplacian filter, and Zero cross detections on the Laplacian.
//
//  \index{itk::ZeroCrossingBasedEdgeDetectionImageFilter}
//
//  Software Guide : EndLatex 


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

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

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

#include "itkRescaleIntensityImageFilter.h"


int main( int argc, char * argv[] )
{
  if( argc < 5 )
    {
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << "  inputImageFile   outputImageFile variance maxerror" << std::endl;
    return EXIT_FAILURE;
    }

  // Software Guide : BeginCodeSnippet
  typedef   double  InputPixelType;
  typedef   double  OutputPixelType;
  typedef unsigned char    CharPixelType; 

  const unsigned int Dimension = 2;

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

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

  typedef itk::RescaleIntensityImageFilter< OutputImageType, CharImageType> 
                                                            RescaleFilterType;

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

  RescaleFilterType::Pointer rescaler = RescaleFilterType::New();

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

  typedef itk::ZeroCrossingBasedEdgeDetectionImageFilter< InputImageType, OutputImageType>  FilterType;
  FilterType::Pointer filter = FilterType::New();


  //  Software Guide : BeginLatex
  //
  //  The filter requires two parameters. First the value of the variance to be
  //  used by the Gaussian smoothing stage. This value is provided in the
  //  method \code{SetVariance} and it is given in pixel units. Second the
  //  filter expects the acceptable error for computing the approximation to
  //  the Gaussian kernel. This error is expected to be in the range between 0
  //  and 1. Values outside that range will result in Exceptions being thrown. 
  //
  //
  //  \index{itk::ZeroCrossingBasedEdgeDetectionImageFilter!SetVariance}
  //  \index{itk::ZeroCrossingBasedEdgeDetectionImageFilter!SetMaximumError}
  //
  //  Software Guide : EndLatex 

  // Software Guide : BeginCodeSnippet
  filter->SetVariance( atof( argv[3] ) );
  filter->SetMaximumError( atof( argv[4] ) );
  // Software Guide : EndCodeSnippet



  //  Software Guide : BeginLatex
  //
  //  As with most filters, we connect the input and output of this
  //  filter in order to create a pipeline. In this particular case the
  //  input is taken from a reader and the output is sent to a writer.
  //  Given that the zero crossing filter is producing a float image as
  //  output, we use a \doxygen{RescaleIntensityImageFilter} to convert
  //  this image to an eight bits image before sending it to the writer.
  //
  //  Software Guide : EndLatex 
 
  // Software Guide : BeginCodeSnippet
  filter->SetInput( reader->GetOutput() );
  rescaler->SetInput( filter->GetOutput() );
  writer->SetInput( rescaler->GetOutput() );
  // Software Guide : EndCodeSnippet

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

  try
  {
  writer->Update();
  }
  catch( itk::ExceptionObject & excp )
  {
    std::cerr << excp << std::endl;
  }


  return EXIT_SUCCESS;
}