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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include "itkHistogramToTextureFeaturesFilter.h"
int itkHistogramToTextureFeaturesFilterTest(int, char* [] )
{
//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 > HistogramType;
HistogramType::Pointer histogram = HistogramType::New();
const unsigned int measurementVectorSize = 2;
histogram->SetMeasurementVectorSize( measurementVectorSize );
HistogramType::SizeType size( measurementVectorSize );
size.Fill(HISTOGRAM_AXIS_LEN);
HistogramType::MeasurementVectorType lowerBound( measurementVectorSize );
HistogramType::MeasurementVectorType upperBound( measurementVectorSize );
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( measurementVectorSize );
HistogramType::AbsoluteFrequencyType frequency;
HistogramType::InstanceIdentifier identifier;
index[0] = 0;
index[1] = 0;
frequency = 10;
identifier = histogram->GetInstanceIdentifier ( index );
histogram->SetFrequency(identifier, frequency);
index[0] = 3;
index[1] = 3;
frequency = 50;
identifier = histogram->GetInstanceIdentifier ( index );
histogram->SetFrequency(identifier, frequency);
index[0] = 2;
index[1] = 1;
frequency= 5;
identifier = histogram->GetInstanceIdentifier ( index );
histogram->SetFrequency(identifier, frequency);
index[0] = 1;
index[1] = 2;
frequency = 5;
identifier = histogram->GetInstanceIdentifier ( index );
histogram->SetFrequency(identifier, frequency);
index[0] = 7;
index[1] = 6;
frequency = 10;
identifier = histogram->GetInstanceIdentifier ( index );
histogram->SetFrequency(identifier, frequency);
index[0] = 6;
index[1] = 7;
frequency = 10;
identifier = histogram->GetInstanceIdentifier ( index );
histogram->SetFrequency(identifier, frequency);
index[0] = 10;
index[1] = 10;
frequency = 10;
identifier = histogram->GetInstanceIdentifier ( index );
histogram->SetFrequency(identifier, frequency);
typedef itk::Statistics::HistogramToTextureFeaturesFilter<
HistogramType > HistogramToTextureFeaturesFilterType;
HistogramToTextureFeaturesFilterType::Pointer filter =
HistogramToTextureFeaturesFilterType::New();
std::cout << filter->GetNameOfClass() << std::endl;
filter->Print(std::cout);
bool passed = true;
//Invoke update before adding an input. An exception should be
//thrown.
try
{
filter->Update();
passed = false;
}
catch ( itk::ExceptionObject & excp )
{
std::cerr << "Exception caught: " << excp << std::endl;
}
if ( filter->GetInput() != ITK_NULLPTR )
{
passed = false;
}
filter->ResetPipeline();
filter->SetInput( histogram );
try
{
filter->Update();
}
catch ( itk::ExceptionObject & excp )
{
std::cerr << "Exception caught: " << excp << std::endl;
return EXIT_FAILURE;
}
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 = filter->GetEnergy();
double entropy = filter->GetEntropy();
double correlation = filter->GetCorrelation();
double inverseDifferenceMoment = filter->GetInverseDifferenceMoment();
double inertia = filter->GetInertia();
double clusterShade = filter->GetClusterShade();
double clusterProminence = filter->GetClusterProminence();
double haralickCorrelation = filter->GetHaralickCorrelation();
if( itk::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( itk::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( itk::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( itk::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( itk::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( itk::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( itk::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( itk::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;
}
//Get the texture features using GetFeature() method
double energy2 = filter->GetFeature(
HistogramToTextureFeaturesFilterType::Energy);
double entropy2 = filter->GetFeature(
HistogramToTextureFeaturesFilterType::Entropy);
double correlation2 = filter->GetFeature(
HistogramToTextureFeaturesFilterType::Correlation);
double inverseDifferenceMoment2 = filter->GetFeature(
HistogramToTextureFeaturesFilterType::InverseDifferenceMoment);
double inertia2 = filter->GetFeature(
HistogramToTextureFeaturesFilterType::Inertia);
double clusterShade2 = filter->GetFeature(
HistogramToTextureFeaturesFilterType::ClusterShade);
double clusterProminence2 = filter->GetFeature(
HistogramToTextureFeaturesFilterType::ClusterProminence);
double haralickCorrelation2 = filter->GetFeature(
HistogramToTextureFeaturesFilterType::HaralickCorrelation);
if( itk::Math::abs(energy2 - trueEnergy) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Energy calculated wrong. Expected: " << trueEnergy << ", got: "
<< energy2 << std::endl;
passed = false;
}
if( itk::Math::abs(entropy2 - trueEntropy) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Entropy calculated wrong. Expected: " << trueEntropy << ", got: "
<< entropy2 << std::endl;
passed = false;
}
if( itk::Math::abs(correlation2 - trueCorrelation) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Correlation calculated wrong. Expected: " << trueCorrelation <<
", got: " << correlation2 << std::endl;
passed = false;
}
if( itk::Math::abs(inverseDifferenceMoment2 - trueInverseDifferenceMoment) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "InverseDifferenceMoment calculated wrong. Expected: " <<
trueInverseDifferenceMoment << ", got: " << inverseDifferenceMoment2 << std::endl;
passed = false;
}
if( itk::Math::abs(inertia2 - trueInertia) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Inertia calculated wrong. Expected: " << trueInertia << ", got: "
<< inertia2 << std::endl;
passed = false;
}
if( itk::Math::abs(clusterShade2 - trueClusterShade) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "ClusterShade calculated wrong. Expected: " << trueClusterShade <<
", got: " << clusterShade2 << std::endl;
passed = false;
}
if( itk::Math::abs(clusterProminence2 - trueClusterProminence) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "ClusterProminence calculated wrong. Expected: "
<< trueClusterProminence << ", got: " << clusterProminence2 << std::endl;
passed = false;
}
if( itk::Math::abs(haralickCorrelation2 - trueHaralickCorrelation) > 0.001 )
{
std::cerr << "Error:" << std::endl;
std::cerr << "Haralick's Correlation calculated wrong. Expected: "
<< trueHaralickCorrelation << ", got: " << haralickCorrelation2 << std::endl;
passed = false;
}
//Test inquiry for invalid feature
if( filter->GetFeature( HistogramToTextureFeaturesFilterType::InvalidFeatureName ) )
{
std::cerr << "Error: " << std::endl;
std::cerr << "GetFeature() is returing non-zero feature value: "
<< "for invalid feature request" << 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;
}
}
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