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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkVotingBinaryHoleFillingImageFilterTest.cxx,v $
Language: C++
Date: $Date: 2007-01-29 14:42:11 $
Version: $Revision: 1.3 $
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
#include "itkImage.h"
#include "itkRandomImageSource.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkVotingBinaryHoleFillingImageFilter.h"
#include "itkTextOutput.h"
#include "itkImageRegionIterator.h"
int itkVotingBinaryHoleFillingImageFilterTest(int, char* [] )
{
// Comment the following if you want to use the itk text output window
itk::OutputWindow::SetInstance(itk::TextOutput::New());
typedef itk::Image<unsigned short,2> ImageType;
itk::RandomImageSource<ImageType>::Pointer random;
random = itk::RandomImageSource<ImageType>::New();
random->SetMin( 0 );
random->SetMax( 100 );
unsigned long randomSize[2];
randomSize[0] = randomSize[1] = 8;
random->SetSize(randomSize);
float spacing[2] = {0.7, 2.1};
random->SetSpacing( spacing );
float origin[2] = {15, 400};
random->SetOrigin( origin );
ImageType::PixelType foreground = 97; // prime numbers are good testers
ImageType::PixelType background = 29;
itk::BinaryThresholdImageFilter<ImageType,ImageType>::Pointer thresholder;
thresholder = itk::BinaryThresholdImageFilter<ImageType,ImageType>::New();
thresholder->SetInput( random->GetOutput() );
thresholder->SetLowerThreshold( 30 );
thresholder->SetUpperThreshold( 100 );
thresholder->SetInsideValue( foreground );
thresholder->SetOutsideValue( background );
// Create a voting image
itk::VotingBinaryHoleFillingImageFilter<ImageType, ImageType>::Pointer voting;
voting = itk::VotingBinaryHoleFillingImageFilter<ImageType,ImageType>::New();
voting->SetInput( thresholder->GetOutput());
voting->SetForegroundValue( foreground );
voting->SetBackgroundValue( background );
// define the neighborhood size used for the voting filter (5x5)
ImageType::SizeType neighRadius;
neighRadius[0] = 1;
neighRadius[1] = 1;
voting->SetRadius(neighRadius);
// Set the number of pixels over 50% that will tip the decision about
// switching a pixel.
voting->SetMajorityThreshold( 1 );
// run the algorithm
voting->Update();
itk::ImageRegionIterator<ImageType> it;
it = itk::ImageRegionIterator<ImageType>(random->GetOutput(),
random->GetOutput()->GetBufferedRegion());
std::cout << "Input image" << std::endl;
unsigned int i;
for (i=1; !it.IsAtEnd(); ++i, ++it)
{
std::cout << "\t" << it.Get();
if ((i % 8) == 0)
{
std::cout << std::endl;
}
}
it = itk::ImageRegionIterator<ImageType>(thresholder->GetOutput(),
thresholder->GetOutput()->GetBufferedRegion());
std::cout << "Binary image" << std::endl;
for (i=1; !it.IsAtEnd(); ++i, ++it)
{
std::cout << "\t" << it.Get();
if ((i % 8) == 0)
{
std::cout << std::endl;
}
}
std::cout << "Output image" << std::endl;
it = itk::ImageRegionIterator<ImageType>(voting->GetOutput(),
voting->GetOutput()->GetBufferedRegion());
for (i=1; !it.IsAtEnd(); ++i, ++it)
{
std::cout << "\t" << it.Get();
if ((i % 8) == 0)
{
std::cout << std::endl;
}
}
std::cout << "Number Of Pixels Changed = " << voting->GetNumberOfPixelsChanged() << std::endl;
return EXIT_SUCCESS;
}
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