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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkEdgePotentialImageFilterTest.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 "itkEdgePotentialImageFilter.h"
#include "itkImage.h"
#include "itkCovariantVector.h"
#include "itkImageRegionIterator.h"
#include "itkFilterWatcher.h"
int itkEdgePotentialImageFilterTest(int, char* [] )
{
// Define the dimension of the images
const unsigned int ImageDimension = 3;
// Declare the types of the images
typedef itk::CovariantVector<double,ImageDimension> VectorType;
typedef itk::Image<VectorType, ImageDimension> InputImageType;
typedef itk::Image<float, ImageDimension> OutputImageType;
// Declare Iterator types apropriated for each image
typedef itk::ImageRegionIterator<InputImageType> InputIteratorType;
typedef itk::ImageRegionIterator<OutputImageType> OutputIteratorType;
// Declare the type of the index to access images
typedef itk::Index<ImageDimension> IndexType;
// Declare the type of the size
typedef itk::Size<ImageDimension> SizeType;
// Declare the type of the Region
typedef itk::ImageRegion<ImageDimension> RegionType;
// Create two images
InputImageType::Pointer inputImage = InputImageType::New();
// Define their size, and start index
SizeType size;
size[0] = 2;
size[1] = 2;
size[2] = 2;
IndexType start;
start[0] = 0;
start[1] = 0;
start[2] = 0;
RegionType region;
region.SetIndex( start );
region.SetSize( size );
// Initialize input image
inputImage->SetLargestPossibleRegion( region );
inputImage->SetBufferedRegion( region );
inputImage->SetRequestedRegion( region );
inputImage->Allocate();
// Create one iterator for the Input Image.
InputIteratorType it( inputImage, inputImage->GetBufferedRegion() );
// Initialize the content input image
VectorType vec;
for ( unsigned int j = 0; j < ImageDimension; j++ )
{
vec[j] = 10.0;
}
std::cout << "Content of the Input " << std::endl;
it.GoToBegin();
while( !it.IsAtEnd() )
{
it.Set( vec );
std::cout << it.Get() << std::endl;
++it;
}
// create an EdgePotentialImageFilter
typedef itk::EdgePotentialImageFilter< InputImageType,
OutputImageType > FilterType;
FilterType::Pointer filter = FilterType::New();
FilterWatcher watcher(filter);
// Connect the input images
filter->SetInput( inputImage );
// Get the Smart Pointer to the Filter Output
OutputImageType::Pointer outputImage = filter->GetOutput();
// Execute the filter
filter->Update();
filter->SetFunctor(filter->GetFunctor());
// Create an iterator for going through the image output
OutputIteratorType ot(outputImage, outputImage->GetRequestedRegion());
// Check the content of the result image
std::cout << "Verification of the output " << std::endl;
const OutputImageType::PixelType epsilon = 1e-6;
ot.GoToBegin();
it.GoToBegin();
while( !ot.IsAtEnd() )
{
const InputImageType::PixelType input = it.Get();
const OutputImageType::PixelType output = ot.Get();
const OutputImageType::PixelType pot = vcl_exp( -1.0 * (it.Get().GetNorm() ) );
std::cout << ot.Get() << " = ";
std::cout << pot << std::endl;
if( vcl_fabs( pot - output ) > epsilon )
{
std::cerr << "Error in itkEdgePotentialImageFilterTest " << std::endl;
std::cerr << " potential( " << input << ") = " << pot << std::endl;
std::cerr << " differs from " << output;
std::cerr << " by more than " << epsilon << std::endl;
return EXIT_FAILURE;
}
++ot;
++it;
}
return EXIT_SUCCESS;
}
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