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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSymmetricEigenSystemTest.cxx,v $
Language: C++
Date: $Date: 2005-02-08 04:20:01 $
Version: $Revision: 1.6 $
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 "itkWin32Header.h"
#include <fstream>
#include "itkSymmetricEigenSystem.h"
int itkSymmetricEigenSystemTest(int , char* [] )
{
typedef itk::SymmetricEigenSystem< double, 2 > EigenSystemType ;
EigenSystemType::Pointer eigen = EigenSystemType::New() ;
EigenSystemType::MatrixType mat ;
mat.GetVnlMatrix().put(0, 0, 814.95741) ;
mat.GetVnlMatrix().put(0, 1, 38.40308) ;
mat.GetVnlMatrix().put(1, 0, 38.40308) ;
mat.GetVnlMatrix().put(1, 1, 817.64446) ;
EigenSystemType::EigenValueArrayType eigenValues ;
eigenValues[0] = 854.7275 ;
eigenValues[1] = 777.8744 ;
EigenSystemType::EigenVectorArrayType eigenVectors ;
eigenVectors[0][0] = 0.6946354 ;
eigenVectors[0][1] = 0.7193620 ;
eigenVectors[1][0] = 0.7193620 ;
eigenVectors[1][1] = -0.6946354 ;
double precision = 0.0000001 ;
eigen->SetMatrix(&mat) ;
eigen->Update() ;
std::cout << "Matrix: " << mat << std::endl ;
double temp ;
std::cout.setf(std::ios::scientific, std::ios::floatfield) ;
for ( unsigned int i = 0 ; i < 2 ; i++ )
{
temp = (*(eigen->GetEigenValues()))[i] ;
std::cout << "eigen value = " << temp << std::endl;
if ( vnl_math_abs(1 - vnl_math_abs(temp / eigenValues[i])) > precision )
{
std::cout << "wrong eigen value "
<< vnl_math_abs(1 - (temp / eigenValues[i]))
<< std::endl ;
return EXIT_FAILURE;
}
}
for ( unsigned int i = 0 ; i < 2 ; i++ )
{
std::cout << "eigen vector = " ;
double dotProduct = 0.0 ;
for ( unsigned int j = 0 ; j < 2 ; j++ )
{
temp = (*(eigen->GetEigenVectors()))[i][j] ;
std::cout << temp << " " ;
dotProduct += temp * eigenVectors[i][j] ;
}
if ( vnl_math_abs(vnl_math_abs(dotProduct) - 1 ) > precision )
{
std::cout << "wrong eigen vector " << dotProduct << std::endl ;
return EXIT_FAILURE;
}
std::cout << std::endl ;
}
std::cout << "Test succeeded." << std::endl;
return EXIT_SUCCESS ;
}
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