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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkLinearInterpolateImageFunctionTest.cxx,v $
Language: C++
Date: $Date: 2008-01-07 00:56:16 $
Version: $Revision: 1.2 $
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 <iostream>
#include "itkImage.h"
#include "itkTranslationTransform.h"
#include "itkLinearInterpolateImageFunction.h"
int itkLinearInterpolateImageFunctionTest( int , char*[] )
{
const unsigned int Dimension = 2;
typedef float PixelType;
typedef itk::Image< PixelType, Dimension > ImageType;
typedef ImageType::RegionType RegionType;
typedef RegionType::SizeType SizeType;
typedef ImageType::IndexType IndexType;
typedef itk::ContinuousIndex<float, 2> ContinuousIndexType;
typedef itk::Point<float,2> PointType;
typedef itk::LinearInterpolateImageFunction< ImageType > InterpolatorType;
ImageType::Pointer image = ImageType::New();
IndexType start;
start.Fill( 0 );
SizeType size;
size.Fill( 3 );
RegionType region;
region.SetSize( size );
region.SetIndex( start );
image->SetRegions( region );
image->Allocate();
ImageType::PointType origin;
ImageType::SpacingType spacing;
origin.Fill( 0.0 );
spacing.Fill( 1.0 );
image->SetOrigin( origin );
image->SetSpacing( spacing );
image->Print( std::cout );
unsigned int maxx = 3;
unsigned int maxy = 3;
//
// Fill up the image values with the function
//
// Intensity = f(x,y) = x + 3 * y
//
//
for (unsigned int y = 0; y < maxy; y++)
{
for (unsigned int x = 0; x < maxx; x++)
{
IndexType index;
index[0] = x;
index[1] = y;
PixelType value = x + y * maxx;
image->SetPixel( index, value );
std::cout << value << " ";
}
std::cout << std::endl;
}
InterpolatorType::Pointer interpolator = InterpolatorType::New();
interpolator->SetInputImage( image );
const double incr = 0.1;
const double tolerance = 1e-6;
PointType point;
for (double yy = 0; yy < static_cast<double>(maxy-1); yy++)
{
for (double xx = 0; xx < static_cast<double>(maxx-1); xx++)
{
for (double yyy = yy; yyy < yy + 1.01; yyy += incr)
{
for (double xxx = xx; xxx < xx + 1.01; xxx += incr)
{
point[0] = xxx;
point[1] = yyy;
if( interpolator->IsInsideBuffer( point ) )
{
const double expectedValue = xxx + 3.0 * yyy;
const double computedValue = interpolator->Evaluate( point );
const double difference = expectedValue - computedValue;
if( vcl_fabs( difference ) > tolerance )
{
std::cerr << "Error found while computing interpolation " << std::endl;
std::cerr << "Point = " << point << std::endl;
std::cerr << "Expected value = " << expectedValue << std::endl;
std::cerr << "Computed value = " << computedValue << std::endl;
std::cerr << "Difference = " << difference << std::endl;
return EXIT_FAILURE;
}
}
}
}
}
}
return EXIT_SUCCESS;
}
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