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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: WatershedSegmentation2.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.
=========================================================================*/
#ifdef _MSC_VER
#pragma warning ( disable : 4786 )
#endif
#ifdef __BORLANDC__
#define ITK_LEAN_AND_MEAN
#endif
// Software Guide : BeginLatex
//
// The following example illustrates how to preprocess and segment images using
// the \doxygen{WatershedImageFilter} for the particular case of grayscale
// scalar image.
//
// Software Guide : EndLatex
#include "itkWatershedImageFilter.h"
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkScalarToRGBPixelFunctor.h"
#include "itkUnaryFunctorImageFilter.h"
#include "itkGradientMagnitudeRecursiveGaussianImageFilter.h"
int main( int argc, char *argv[] )
{
if( argc < 5 )
{
std::cerr << "Missing Parameters " << std::endl;
std::cerr << "Usage: " << argv[0];
std::cerr << " inputImage outputImage lowerThreshold outputScaleLevel" << std::endl;
return 1;
}
typedef float InternalPixelType;
typedef itk::RGBPixel<unsigned char> RGBPixelType;
const unsigned int Dimension = 3;
typedef itk::Image< InternalPixelType, Dimension > InternalImageType;
typedef itk::Image< RGBPixelType, Dimension > RGBImageType;
//
// We instantiate reader and writer types
//
typedef itk::ImageFileReader< InternalImageType > ReaderType;
typedef itk::ImageFileWriter< RGBImageType > WriterType;
ReaderType::Pointer reader = ReaderType::New();
WriterType::Pointer writer = WriterType::New();
reader->SetFileName( argv[1] );
writer->SetFileName( argv[2] );
//
// Instantiate the GradientMagnitude image filter
//
typedef itk::GradientMagnitudeRecursiveGaussianImageFilter<
InternalImageType,
InternalImageType
> GradientMagnitudeFilterType;
GradientMagnitudeFilterType::Pointer gradienMagnitudeFilter = GradientMagnitudeFilterType::New();
gradienMagnitudeFilter->SetInput( reader->GetOutput() );
gradienMagnitudeFilter->SetSigma( 1.0 );
//
// Instantiate the Watershed filter
//
typedef itk::WatershedImageFilter<
InternalImageType
> WatershedFilterType;
WatershedFilterType::Pointer watershedFilter = WatershedFilterType::New();
watershedFilter->SetInput( gradienMagnitudeFilter->GetOutput() );
watershedFilter->SetThreshold( atof( argv[3] ) );
watershedFilter->SetLevel( atof( argv[4] ) );
//
// Instantiate the filter that will encode the label image
// into a color image (random color attribution).
//
typedef itk::Functor::ScalarToRGBPixelFunctor<
unsigned long
> ColorMapFunctorType;
typedef WatershedFilterType::OutputImageType LabeledImageType;
typedef itk::UnaryFunctorImageFilter<
LabeledImageType,
RGBImageType,
ColorMapFunctorType
> ColorMapFilterType;
ColorMapFilterType::Pointer colorMapFilter = ColorMapFilterType::New();
colorMapFilter->SetInput( watershedFilter->GetOutput() );
writer->SetInput( colorMapFilter->GetOutput() );
try
{
writer->Update();
}
catch( itk::ExceptionObject & excep )
{
std::cerr << "Exception caught !" << std::endl;
std::cerr << excep << std::endl;
}
return 0;
}
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