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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkKappaSigmaThresholdImageCalculatorTest.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 "itkKappaSigmaThresholdImageCalculator.h"
#include "itkImageFileReader.h"
#include "itkImage.h"
int itkKappaSigmaThresholdImageCalculatorTest( int argc, char * argv [] )
{
if( argc < 5 )
{
std::cerr << "Missing arguments" << std::endl;
std::cerr << "Usage:" << std::endl;
std::cerr << argv[0] << std::endl;
std::cerr << "inputImage numberOfIterations sigmaFactor expectedThreshold" << std::endl;
return EXIT_FAILURE;
}
typedef signed short PixelType;
const unsigned int Dimension = 2;
typedef itk::Image< PixelType, Dimension > ImageType;
typedef itk::Image< unsigned char, Dimension > MaskType;
typedef itk::ImageFileReader< ImageType > ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
typedef itk::KappaSigmaThresholdImageCalculator< ImageType, MaskType > CalculatorType;
std::cout << "Testing Kappa Sigma Image Calulator:\n";
try
{
reader->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
/* Create and initialize the calculator */
CalculatorType::Pointer calculator = CalculatorType::New();
calculator->SetImage( reader->GetOutput() );
calculator->SetNumberOfIterations( atoi( argv[2] ) );
calculator->SetSigmaFactor( atof( argv[3] ) );
calculator->SetMaskValue( 255 );
// Exercise Get methods
std::cout << "Number of iterations = " << calculator->GetNumberOfIterations() << std::endl;
std::cout << "Sigma factor = " << calculator->GetSigmaFactor() << std::endl;
std::cout << "Mask value = " << calculator->GetMaskValue() << std::endl;
calculator->Compute();
PixelType threshold = calculator->GetOutput();
std::cout << "calculator: " << calculator;
std::cout << "Threshold: " << threshold;
std::cout << std::endl;
// Note that this notion of "expected" value is only for regression testing of the class.
// In a typical usage of this class, you will simply take the calculator->GetOutput().
PixelType expectedThreshold = atoi( argv[4] );
if( vnl_math_abs( expectedThreshold - threshold ) > 1e-3 )
{
std::cerr << "Test failed" << std::endl;
std::cerr << "Expected threshold = " << expectedThreshold << std::endl;
std::cerr << "bu Found threshold = " << threshold << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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