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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculatorTest.cxx,v $
Language: C++
Date: $Date: 2004-06-25 11:54:23 $
Version: $Revision: 1.4 $
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
// Insight classes
#include "itkHistogram.h"
#include "vnl/vnl_math.h"
#include "itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculator.h"
// Un-comment to run this test standalone:
//int itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculatorTest(int, char* [] );
//int main(int c, char * v[])
// {
// return itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculator(c, v);
// }
int itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculatorTest(int, char* [] )
{
try { // the rest of the function is in the try block...
//Data definitions
const unsigned int HISTOGRAM_AXIS_LEN = 25;
//------------------------------------------------------
// Create a simple test histogram. The histogram must be
// symmetric and normalized.
//------------------------------------------------------
typedef float MeasurementType ;
typedef itk::Statistics::Histogram< MeasurementType, 2 > HistogramType ;
HistogramType::Pointer histogram = HistogramType::New() ;
HistogramType::SizeType size ;
size.Fill(HISTOGRAM_AXIS_LEN) ;
HistogramType::MeasurementVectorType lowerBound ;
HistogramType::MeasurementVectorType upperBound ;
lowerBound[0] = 0 ;
lowerBound[1] = 0 ;
upperBound[0] = HISTOGRAM_AXIS_LEN + 1 ;
upperBound[1] = HISTOGRAM_AXIS_LEN + 1 ;
histogram->Initialize(size, lowerBound, upperBound ) ;
HistogramType::IndexType index ;
index[0] = 0 ;
index[1] = 0 ;
histogram->SetFrequency(index, 0.1);
index[0] = 3 ;
index[1] = 3 ;
histogram->SetFrequency(index, 0.5);
index[0] = 2 ;
index[1] = 1 ;
histogram->SetFrequency(index, 0.05);
index[0] = 1 ;
index[1] = 2 ;
histogram->SetFrequency(index, 0.05);
index[0] = 7 ;
index[1] = 6 ;
histogram->SetFrequency(index, 0.1);
index[0] = 6 ;
index[1] = 7 ;
histogram->SetFrequency(index, 0.1);
index[0] = 10 ;
index[1] = 10 ;
histogram->SetFrequency(index, 0.1);
typedef itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator<
HistogramType > GLCMCalcType;
GLCMCalcType::Pointer glcmCalc = GLCMCalcType::New();
glcmCalc->SetHistogram(histogram);
glcmCalc->Compute();
double trueEnergy = 0.295;
double trueEntropy = 2.26096;
double trueCorrelation = 0.12819;
double trueInverseDifferenceMoment = 0.85;
double trueInertia = 0.3;
double trueClusterShade = 139.1879;
double trueClusterProminence = 2732.557;
double trueHaralickCorrelation = 2264.549;
double energy = glcmCalc->GetEnergy();
double entropy = glcmCalc->GetEntropy();
double correlation = glcmCalc->GetCorrelation();
double inverseDifferenceMoment = glcmCalc->GetInverseDifferenceMoment();
// Now try the other way of getting features.
double inertia = glcmCalc->GetFeature(itk::Statistics::Inertia);
double clusterShade = glcmCalc->GetFeature(itk::Statistics::ClusterShade);
double clusterProminence = glcmCalc->GetFeature(itk::Statistics::ClusterProminence);
double haralickCorrelation = glcmCalc->GetFeature(itk::Statistics::HaralickCorrelation);
bool passed = true;
if( vnl_math_abs(energy - trueEnergy) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Energy calculated wrong. Expected: " << trueEnergy << ", got: "
<< energy << std::endl;
passed = false;
}
if( vnl_math_abs(entropy - trueEntropy) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Entropy calculated wrong. Expected: " << trueEntropy << ", got: "
<< entropy << std::endl;
passed = false;
}
if( vnl_math_abs(correlation - trueCorrelation) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Correlation calculated wrong. Expected: " << trueCorrelation <<
", got: " << correlation << std::endl;
passed = false;
}
if( vnl_math_abs(inverseDifferenceMoment - trueInverseDifferenceMoment) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "InverseDifferenceMoment calculated wrong. Expected: " <<
trueInverseDifferenceMoment << ", got: " << inverseDifferenceMoment << std::endl;
passed = false;
}
if( vnl_math_abs(inertia - trueInertia) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Inertia calculated wrong. Expected: " << trueInertia << ", got: "
<< inertia << std::endl;
passed = false;
}
if( vnl_math_abs(clusterShade - trueClusterShade) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "ClusterShade calculated wrong. Expected: " << trueClusterShade <<
", got: " << clusterShade << std::endl;
passed = false;
}
if( vnl_math_abs(clusterProminence - trueClusterProminence) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "ClusterProminence calculated wrong. Expected: "
<< trueClusterProminence << ", got: " << clusterProminence << std::endl;
passed = false;
}
if( vnl_math_abs(haralickCorrelation - trueHaralickCorrelation) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Haralick's Correlation calculated wrong. Expected: "
<< trueHaralickCorrelation << ", got: " << haralickCorrelation << std::endl;
passed = false;
}
if (!passed)
{
std::cerr << "Test failed" << std::endl;
return EXIT_FAILURE;
}
else
{
std::cerr << "Test succeeded" << std::endl;
return EXIT_SUCCESS;
}
} catch( itk::ExceptionObject & err ) {
std::cerr << "ExceptionObject caught !" << std::endl;
std::cerr << err << std::endl;
std::cerr << "Test failed" << std::endl;
return EXIT_FAILURE;
}
}
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