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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: ScaleSpaceGenerator2D.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 : BeginLatex
//
// We now use the previous example for building the ScaleSpace of a 2D image.
// Since most of the code is the same, we will focus only on the extra lines
// needed for generating the Scale Space.
//
// Software Guide : EndLatex
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkLaplacianRecursiveGaussianImageFilter.h"
#include <stdio.h>
int main( int argc, char * argv[] )
{
if( argc < 4 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile outputImageFileBase numberOfSlices" << std::endl;
return EXIT_FAILURE;
}
typedef float InputPixelType;
typedef float OutputPixelType;
typedef itk::Image< InputPixelType, 2 > InputImageType;
typedef itk::Image< OutputPixelType, 2 > OutputImageType;
typedef itk::ImageFileReader< InputImageType > ReaderType;
typedef itk::LaplacianRecursiveGaussianImageFilter<
InputImageType, OutputImageType > FilterType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
FilterType::Pointer laplacian = FilterType::New();
laplacian->SetNormalizeAcrossScale( true );
laplacian->SetInput( reader->GetOutput() );
typedef itk::ImageFileWriter< OutputImageType > WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetInput( laplacian->GetOutput() );
// Software Guide : BeginLatex
//
// Interestingly, all comes down to looping over several scales,
// by setting different sigma values and selecting the filename
// of the slice corresponding to that scale value.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
char filename[2000];
int numberOfSlices = atoi(argv[3]);
for( int slice=0; slice < numberOfSlices; slice++ )
{
sprintf( filename, "%s%03d.mhd", argv[2], slice );
writer->SetFileName( filename );
const float sigma = static_cast< float >( slice ) / 10.0 + 1.0;
laplacian->SetSigma( sigma );
writer->Update();
}
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The set of images can now be loaded in a Viewer, such as VolView or
// ParaView, and iso-surfaces can be traced at the zero value. These
// surfaces will correspond to the zero-crossings of the laplacian and
// therefore their stability along Scales will represent the significance of
// these features as edges in the original image.
//
// Software Guide : EndLatex
return EXIT_SUCCESS;
}
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