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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkConfidenceConnectedImageFilterTest.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
#include <fstream>
#include "itkConfidenceConnectedImageFilter.h"
#include "itkImageFileReader.h"
#include "itkPNGImageIO.h"
#include "itkImageFileWriter.h"
#include "itkTextOutput.h"
#include "itkImageRegionIterator.h"
#include "itkNumericTraits.h"
#include "itkSimpleFilterWatcher.h"
#include "itkOrientedImage.h"
int itkConfidenceConnectedImageFilterTest(int ac, char* av[] )
{
// Comment the following if you want to use the itk text output window
itk::OutputWindow::SetInstance(itk::TextOutput::New());
if(ac < 5)
{
std::cerr << "Usage: " << av[0] << " InputImage BaselineImage seed_x seed_y\n";
return -1;
}
typedef unsigned char PixelType;
typedef itk::OrientedImage<PixelType, 2> myImage;
itk::ImageFileReader<myImage>::Pointer input
= itk::ImageFileReader<myImage>::New();
input->SetFileName(av[1]);
// Create a filter
typedef itk::ConfidenceConnectedImageFilter<myImage,myImage> FilterType;
FilterType::Pointer filter = FilterType::New();
itk::SimpleFilterWatcher filterWatch(filter);
filter->SetInput(input->GetOutput());
filter->SetInitialNeighborhoodRadius( 3 ); // measured in pixels
FilterType::IndexType seed; seed[0] = atoi(av[3]); seed[1] = atoi(av[4]);
// FilterType::IndexType seed; seed[0] = 56; seed[1] = 90;
// FilterType::IndexType seed; seed[0] = 96; seed[1] = 214;
filter->SetSeed(seed);
filter->SetMultiplier(2.5);
filter->SetReplaceValue(255);
filter->SetNumberOfIterations(10);
try
{
input->Update();
filter->Update();
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected: " << e.GetDescription();
return -1;
}
// Test the GetMacros
double doubleMultiplier = filter->GetMultiplier();
std::cout << "filter->GetMultiplier(): "
<< doubleMultiplier
<< std::endl;
unsigned int uintNumberOfIterations = filter->GetNumberOfIterations();
std::cout << "filter->GetNumberOfIterations(): "
<< uintNumberOfIterations
<< std::endl;
PixelType pixelReplaceValue = filter->GetReplaceValue();
std::cout << "filter->GetReplaceValue(): "
<< static_cast<itk::NumericTraits<PixelType>::PrintType>(pixelReplaceValue)
<< std::endl;
const unsigned int cuintInitialNeighborhoodRadius = filter->GetInitialNeighborhoodRadius();
std::cout << "filter->GetInitialNeighborhoodRadius(): "
<< cuintInitialNeighborhoodRadius
<< std::endl;
const double mean = filter->GetMean();
std::cout << "filter->GetMean(): "
<< mean
<< std::endl;
const double variance = filter->GetVariance();
std::cout << "filter->GetVariance(): "
<< variance
<< std::endl;
// Generate test image
itk::ImageFileWriter<myImage>::Pointer writer;
writer = itk::ImageFileWriter<myImage>::New();
writer->SetInput( filter->GetOutput() );
writer->SetFileName( av[2] );
writer->Update();
// Exercise AddSeed() method
filter->AddSeed( seed );
return EXIT_SUCCESS;
}
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