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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkVectorConfidenceConnectedImageFilterTest.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 "itkVectorConfidenceConnectedImageFilter.h"
#include "itkPNGImageIO.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTextOutput.h"
#include "itkImageRegionIterator.h"
#include "itkNumericTraits.h"
#include "itkFilterWatcher.h"
#include "itkRGBPixel.h"
int itkVectorConfidenceConnectedImageFilterTest(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 < 9)
{
std::cerr << "Usage: " << av[0] << " InputImage BaselineImage seed1X seed1Y seed2X seed2Y multiplier iterations\n";
return -1;
}
const unsigned int Dimension = 2;
typedef unsigned char PixelComponentType;
typedef itk::RGBPixel<PixelComponentType> PixelType;
typedef unsigned char OutputPixelType;
typedef itk::Image<PixelType, Dimension> ImageType;
typedef itk::Image<OutputPixelType, Dimension> OutputImageType;
typedef itk::ImageFileReader<ImageType> ReaderType;
ReaderType::Pointer input = ReaderType::New();
input->SetFileName(av[1]);
// Create a filter
typedef itk::VectorConfidenceConnectedImageFilter<
ImageType,
OutputImageType
> FilterType;
FilterType::Pointer filter = FilterType::New();
FilterWatcher filterWatch(filter);
filter->SetInput(input->GetOutput());
filter->SetInitialNeighborhoodRadius( 3 ); // measured in pixels
FilterType::IndexType seed1;
FilterType::IndexType seed2;
seed1[0] = atoi( av[3] );
seed1[1] = atoi( av[4] );
seed2[0] = atoi( av[5] );
seed2[1] = atoi( av[6] );
filter->AddSeed( seed1 );
filter->AddSeed( seed2 );
filter->SetReplaceValue( 255 );
filter->SetMultiplier( atof( av[7] ) );
filter->SetNumberOfIterations( atoi( av[8] ) );
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;
OutputPixelType pixelReplaceValue = filter->GetReplaceValue();
std::cout << "filter->GetReplaceValue(): "
<< static_cast<itk::NumericTraits<OutputPixelType>::PrintType>(pixelReplaceValue)
<< std::endl;
const unsigned int cuintInitialNeighborhoodRadius = filter->GetInitialNeighborhoodRadius();
std::cout << "filter->GetInitialNeighborhoodRadius(): "
<< cuintInitialNeighborhoodRadius
<< std::endl;
// Generate test image
typedef itk::ImageFileWriter<OutputImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetInput( filter->GetOutput() );
writer->SetFileName( av[2] );
writer->Update();
// Exercise SetSeed() method
filter->SetSeed( seed1 );
return EXIT_SUCCESS;
}
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