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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkScalarImageTextureCalculatorTest.cxx,v $
Language: C++
Date: $Date: 2004-08-02 06:59:23 $
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
// Insight classes
#include "itkImage.h"
#include "itkImageRegionIterator.h"
#include "vnl/vnl_math.h"
#include "itkScalarImageTextureCalculator.h"
// Un-comment to run this test standalone:
//int itkScalarImageTextureCalculatorTest(int, char* [] );
//int main(int c, char * v[])
// {
// return itkScalarImageTextureCalculatorTest(c, v);
// }
int itkScalarImageTextureCalculatorTest(int, char* [] )
{
//Data definitions
const unsigned int IMGWIDTH = 5;
const unsigned int IMGHEIGHT = 5;
const unsigned int NDIMENSION = 2;
//------------------------------------------------------
//Create a simple test images
//------------------------------------------------------
typedef itk::Image<unsigned char, NDIMENSION> InputImageType;
typedef itk::ImageRegionIterator< InputImageType > InputImageIterator;
InputImageType::Pointer image = InputImageType::New();
InputImageType::SizeType inputImageSize = {{ IMGWIDTH, IMGHEIGHT }};
InputImageType::IndexType index;
index.Fill(0);
InputImageType::RegionType region;
region.SetSize( inputImageSize );
region.SetIndex( index );
//--------------------------------------------------------------------------
// Set up the image first. It looks like:
// 1 2 1 2 1
// 1 2 1 2 1
// 1 2 1 2 1
// 1 2 1 2 1
// 1 2 1 2 1
//--------------------------------------------------------------------------
image->SetRegions( region );
image->Allocate();
// setup the iterator
InputImageIterator imageIt( image, image->GetBufferedRegion() );
for(int i = 0; i < 5; i++)
for(int j = 0; j < 5; j++, ++imageIt)
{
imageIt.Set(j % 2 + 1);
}
//--------------------------------------------------------------------------
// Test the calculator
//--------------------------------------------------------------------------
try {
typedef itk::Statistics::ScalarImageTextureCalculator<
InputImageType> TextureCalcType;
// First test: just use the defaults.
TextureCalcType::Pointer texCalc = TextureCalcType::New();
texCalc->SetInput(image);
texCalc->Compute();
TextureCalcType::FeatureValueVectorPointer means, stds;
means = texCalc->GetFeatureMeans();
stds = texCalc->GetFeatureStandardDeviations();
double expectedMeans[6] = {0.505, 0.992738, 0.625, 0.75, 0.0959999, 0.2688};
double expectedDeviations[6] = {0.00866027, 0.0125788, 0.216506351, 0.433012702,
0.166277, 0.465575};
bool passed = true;
TextureCalcType::FeatureValueVector::ConstIterator mIt, sIt;
int counter;
for (counter = 0, mIt = means->Begin(); mIt != means->End(); ++mIt, counter++)
{
if ( vnl_math_abs(expectedMeans[counter] - mIt.Value()) > 0.0001 )
{
std::cout << "Error. Mean for feature " << counter << " is " << mIt.Value() <<
", expected " << expectedMeans[counter] << "." << std::endl;
passed = false;
}
}
for (counter = 0, sIt = stds->Begin(); sIt != stds->End(); ++sIt, counter ++)
{
if ( vnl_math_abs(expectedDeviations[counter] - sIt.Value()) > 0.0001 )
{
std::cout << "Error. Deiviation for feature " << counter << " is " << sIt.Value() <<
", expected " << expectedDeviations[counter] << "." << 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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