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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMeanImageFunctionTest.cxx,v $
Language: C++
Date: $Date: 2003-09-10 14:30:09 $
Version: $Revision: 1.7 $
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 "itkMeanImageFunction.h"
#include "itkImage.h"
int itkMeanImageFunctionTest(int, char* [] )
{
const unsigned int Dimension = 3;
typedef unsigned char PixelType;
typedef itk::Image< PixelType, Dimension > ImageType;
typedef itk::MeanImageFunction< ImageType > FunctionType;
// Create and allocate the image
ImageType::Pointer image = ImageType::New();
ImageType::SizeType size;
ImageType::IndexType start;
ImageType::RegionType region;
size[0] = 50;
size[1] = 50;
size[2] = 50;
start.Fill( 0 );
region.SetIndex( start );
region.SetSize( size );
image->SetRegions( region );
image->Allocate();
ImageType::PixelType initialValue = 27;
image->FillBuffer( initialValue );
FunctionType::Pointer function = FunctionType::New();
function->SetInputImage( image );
function->SetNeighborhoodRadius( 5 );
ImageType::IndexType index;
index[0] = 25;
index[1] = 25;
index[2] = 25;
FunctionType::OutputType mean;
mean = function->EvaluateAtIndex( index );
std::cout << "function->EvaluateAtIndex( index ): " << mean << std::endl;
// Test Evaluate
FunctionType::PointType point;
point[0] = 25;
point[1] = 25;
point[2] = 25;
FunctionType::OutputType mean2;
mean2 = function->Evaluate(point);
std::cout << "function->Evaluate(point): " << mean2 << std::endl;
// Test EvaluateAtContinuousIndex
FunctionType::ContinuousIndexType cindex;
cindex[0] = 25;
cindex[1] = 25;
cindex[2] = 25;
FunctionType::OutputType mean3;
mean3 = function->EvaluateAtContinuousIndex(cindex);
std::cout << "function->EvaluateAtContinuousIndex(cindex): " << mean3 << 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
if( vnl_math_abs( initialValue - mean ) > 10e-7 )
{
std::cerr << "Error in mean computation" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test PASSED ! " << std::endl;
return EXIT_SUCCESS;
}
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