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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit (ITK)
Module: $RCSfile: itkLevelSetNeighborhoodExtractorTest.cxx,v $
Language: C++
Date: $Date: 2003-09-10 14:30:03 $
Version: $Revision: 1.3 $
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 "itkLevelSetNeighborhoodExtractor.h"
#include "itkFastMarchingImageFilter.h"
int itkLevelSetNeighborhoodExtractorTest(int, char* [] )
{
const unsigned int ImageDimension = 2;
typedef float PixelType;
typedef itk::Image<PixelType,ImageDimension> ImageType;
// Create an input image using fastmarching
typedef itk::FastMarchingImageFilter<ImageType> SourceType;
SourceType::Pointer source = SourceType::New();
ImageType::SizeType size;
size.Fill( 17 );
source->SetOutputSize( size );
SourceType::NodeType node;
ImageType::IndexType index;
index.Fill( 8 );
node.SetIndex( index );
node.SetValue( -4.0 );
typedef SourceType::NodeContainer NodeContainerType;
NodeContainerType::Pointer container = NodeContainerType::New();
container->InsertElement( 0, node );
source->SetTrialPoints( container );
source->CollectPointsOn();
source->Update();
typedef itk::LevelSetNeighborhoodExtractor<ImageType> ExtractorType;
ExtractorType::Pointer extractor = ExtractorType::New();
extractor->SetInputLevelSet( source->GetOutput() );
extractor->SetLevelSetValue( 0.0 );
extractor->NarrowBandingOff();
extractor->Locate();
typedef NodeContainerType::ConstIterator Iterator;
Iterator iter;
Iterator iterEnd;
std::cout << "Inside Points" << std::endl;
iter = extractor->GetInsidePoints()->Begin();
iterEnd = extractor->GetInsidePoints()->End();
for( ; iter != iterEnd; iter++ )
{
std::cout << iter.Value().GetIndex() << " ";
std::cout << iter.Value().GetValue() << std::endl;
}
std::cout << "Outside Points" << std::endl;
iter = extractor->GetOutsidePoints()->Begin();
iterEnd = extractor->GetOutsidePoints()->End();
for( ; iter != iterEnd; iter++ )
{
std::cout << iter.Value().GetIndex() << " ";
std::cout << iter.Value().GetValue() << std::endl;
}
// exercise Print
extractor->Print( std::cout );
// exercise Get methods
std::cout << "InputLevelSet: " << extractor->GetInputLevelSet() << std::endl;
std::cout << "LevelSetValue: " << extractor->GetLevelSetValue() << std::endl;
std::cout << "NarrowBandwidth: " << extractor->GetNarrowBandwidth() << std::endl;
std::cout << "NarrowBanding: " << extractor->GetNarrowBanding() << std::endl;
std::cout << "InputNarrowBand: " << extractor->GetInputNarrowBand() << std::endl;
// exercise error handling
bool passed;
std::cout << "Testing NULL inputs" << std::endl;
try
{
passed = false;
extractor->SetInputLevelSet( NULL );
extractor->Locate();
}
catch( itk::ExceptionObject& err )
{
std::cout << err << std::endl;
passed = true;
extractor->SetInputLevelSet( source->GetOutput() );
}
if ( !passed )
{
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
try
{
passed = false;
extractor->NarrowBandingOn();
extractor->SetInputNarrowBand( NULL );
extractor->Locate();
}
catch( itk::ExceptionObject& err )
{
std::cout << err << std::endl;
passed = true;
extractor->NarrowBandingOff();
}
if ( !passed )
{
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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