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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkDiscreteGaussianImageFilterTest.cxx,v $
Language: C++
Date: $Date: 2009-10-08 07:22:20 $
Version: $Revision: 1.15 $
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 "itkDiscreteGaussianImageFilter.h"
#include "itkNullImageToImageFilterDriver.txx"
#include "itkVector.h"
#include "itkFilterWatcher.h"
int itkDiscreteGaussianImageFilterTest(int , char * [] )
{
try
{
const unsigned int Dimension = 3;
typedef itk::Image<float, Dimension> ImageType;
// Set up filter
typedef itk::DiscreteGaussianImageFilter<ImageType, ImageType> FilterType;
typedef FilterType::ArrayType ArrayType;
FilterType::Pointer filter = FilterType::New();
FilterWatcher watcher( filter );
// Test other set/get functions
ArrayType array;
array[0] = 0.05;
array[1] = 0.06;
array[2] = 0.07;
filter->SetMaximumError( array );
array.Fill( 0.04 );
filter->SetMaximumError( array.GetDataPointer() );
// set some parameters
filter->SetVariance( 1.0 );
filter->SetMaximumError( .01 );
filter->SetMaximumKernelWidth( 32 );
filter->SetFilterDimensionality( Dimension );
filter->SetUseImageSpacing( true );
// Test some functions
ArrayType varReturned = filter->GetVariance();
for ( unsigned int i = 0; i < Dimension; ++i )
{
if ( varReturned[ i ] != 1.0 )
{
std::cout << "GetVariance()[" << i << "] failed. Expected: "
<< 1.0
<< " but got: "
<< varReturned[ i ] << std::endl;
return EXIT_FAILURE;
}
}
ArrayType maxErrorReturned = filter->GetMaximumError();
for ( unsigned int i = 0; i < Dimension; ++i )
{
if ( maxErrorReturned[ i ] != 0.01 )
{
std::cout << "GetMaximumError()[" << i << "] failed. Expected: "
<< 0.01
<< " but got: "
<< maxErrorReturned[ i ] << std::endl;
return EXIT_FAILURE;
}
}
if ( filter->GetMaximumKernelWidth() != 32 )
{
std::cout << "GetMaximumKernelWidth failed. Expected: "
<< 32
<< " but got: "
<< filter->GetMaximumKernelWidth() << std::endl;
return EXIT_FAILURE;
}
if ( filter->GetFilterDimensionality() != Dimension )
{
std::cout << "GetFilterDimensionality failed. Expected: "
<< Dimension
<< " but got: "
<< filter->GetFilterDimensionality() << std::endl;
return EXIT_FAILURE;
}
if ( filter->GetUseImageSpacing() != true )
{
std::cout << "GetUseImageSpacing failed. Expected: "
<< true
<< " but got: "
<< filter->GetUseImageSpacing() << std::endl;
return EXIT_FAILURE;
}
// Run Test
itk::Size<3> sz;
sz[0] = 100 ; //atoi(argv[1]);
sz[1] = 100 ; // atoi(argv[2]);
sz[2] = 40;
// sz[2] = 10;//atoi(argv[3]);
// sz[3] = 5;//atoi(argv[4]);
itk::NullImageToImageFilterDriver< ImageType, ImageType > test1;
test1.SetImageSize(sz);
test1.SetFilter(filter.GetPointer());
test1.Execute();
}
catch(itk::ExceptionObject &err)
{
(&err)->Print(std::cerr);
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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