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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkCovarianceImageFunctionTest.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 <stdio.h>
#include "itkCovarianceImageFunction.h"
#include "itkImage.h"
int itkCovarianceImageFunctionTest(int, char* [] )
{
const unsigned int Dimension = 3;
typedef unsigned char PixelComponentType;
const unsigned int VectorDimension = 4;
typedef itk::FixedArray< PixelComponentType, VectorDimension > PixelType;
typedef itk::Image< PixelType, Dimension > ImageType;
typedef itk::CovarianceImageFunction< ImageType > FunctionType;
// Create and allocate the image
ImageType::Pointer image = ImageType::New();
ImageType::SizeType size;
ImageType::IndexType start;
ImageType::RegionType region;
size[0] = 20;
size[1] = 20;
size[2] = 20;
start.Fill( 0 );
region.SetIndex( start );
region.SetSize( size );
image->SetRegions( region );
image->Allocate();
ImageType::PixelType initialValue;
initialValue[0] = 11;
initialValue[1] = 13;
initialValue[2] = 17;
initialValue[3] = 19;
image->FillBuffer( initialValue );
FunctionType::Pointer function = FunctionType::New();
function->SetInputImage( image );
function->SetNeighborhoodRadius( 5 );
ImageType::IndexType index;
index[0] = 10;
index[1] = 10;
index[2] = 10;
FunctionType::OutputType covariance;
covariance = function->EvaluateAtIndex( index );
std::cout << "function->EvaluateAtIndex( index ): " << covariance << std::endl;
// Test Evaluate
FunctionType::PointType point;
point[0] = 25;
point[1] = 25;
point[2] = 25;
FunctionType::OutputType covariance2;
covariance2 = function->Evaluate(point);
std::cout << "function->Evaluate(point): " << covariance2 << std::endl;
// Test EvaluateAtContinuousIndex
FunctionType::ContinuousIndexType cindex;
cindex[0] = 25;
cindex[1] = 25;
cindex[2] = 25;
FunctionType::OutputType covariance3;
covariance3 = function->EvaluateAtContinuousIndex(cindex);
std::cout << "function->EvaluateAtContinuousIndex(cindex): " << covariance3 << std::endl;
// Test GetConstReferenceMacro
const unsigned int & neighborhoodRadius = function->GetNeighborhoodRadius();
std::cout << "function->GetNeighborhoodRadius(): " << neighborhoodRadius << std::endl;
// since the input image is constant
// the should be equal to the initial value
for( unsigned int ix=0; ix<VectorDimension; ix++ )
{
for( unsigned int iy=0; iy<VectorDimension; iy++ )
{
// covariance must be zero in this image with constant values
if( vnl_math_abs( covariance[ix][iy] ) > 10e-7 )
{
std::cerr << "Error in covariance computation" << std::endl;
return EXIT_FAILURE;
}
}
}
std::cout << "Test PASSED ! " << std::endl;
return EXIT_SUCCESS;
}
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