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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include "itkContourMeanDistanceImageFilter.h"
#include "itkFilterWatcher.h"
int itkContourMeanDistanceImageFilterTest(int, char* [] )
{
typedef unsigned int Pixel1Type;
typedef float Pixel2Type;
enum { ImageDimension = 3 };
typedef itk::Image<Pixel1Type,ImageDimension> Image1Type;
typedef itk::Image<Pixel2Type,ImageDimension> Image2Type;
Image1Type::Pointer image1 = Image1Type::New();
Image2Type::Pointer image2 = Image2Type::New();
Image1Type::SizeType size;
size.Fill( 50 );
image1->SetRegions( size );
image2->SetRegions( size );
image1->Allocate();
image2->Allocate();
image1->FillBuffer( itk::NumericTraits<Pixel1Type>::ZeroValue() );
image2->FillBuffer( itk::NumericTraits<Pixel2Type>::ZeroValue() );
typedef Image1Type::RegionType RegionType;
RegionType region1;
RegionType region2;
typedef Image1Type::IndexType IndexType;
IndexType index;
size.Fill( 20 );
index.Fill( 10 );
region1.SetSize( size );
region1.SetIndex( index );
size.Fill( 15 );
index.Fill( 20 );
region2.SetSize( size );
region2.SetIndex( index );
itk::ImageRegionIterator<Image1Type> it1( image1, region1 );
Pixel1Type count = itk::NumericTraits<Pixel1Type>::ZeroValue();
while ( !it1.IsAtEnd() )
{
it1.Set( ++count );
++it1;
}
itk::ImageRegionIterator<Image2Type> it2( image2, region2 );
while ( !it2.IsAtEnd() )
{
it2.Set( 7.2 );
++it2;
}
// compute the directed Mean distance h(image1,image2)
{
typedef itk::ContourMeanDistanceImageFilter<Image1Type,Image2Type> FilterType;
FilterType::Pointer filter = FilterType::New();
FilterWatcher watcher(filter, "filter");
filter->SetInput1( image1 );
filter->SetInput2( image2 );
filter->Update();
filter->Print( std::cout );
// check results
FilterType::RealType trueDistance = 8.07158;
// std::sqrt( static_cast<double>(ImageDimension) );
FilterType::RealType distance = filter->GetMeanDistance();
std::cout << " True distance: " << trueDistance << std::endl;
std::cout << " Computed distance: " << distance << std::endl;
if ( itk::Math::abs( trueDistance - distance ) > 0.5 )
{
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
}
// compute the directed Mean distance h(image2,image1)
{
typedef itk::ContourMeanDistanceImageFilter<Image2Type,Image1Type> FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetInput1( image2 );
filter->SetInput2( image1 );
filter->Update();
// check results
FilterType::RealType trueDistance = 8.07158;
FilterType::RealType distance = filter->GetMeanDistance();
std::cout << " True distance: " << trueDistance << std::endl;
std::cout << " Computed distance: " << distance << std::endl;
if ( itk::Math::abs( trueDistance - distance ) > 0.5 )
{
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
}
// compute the directed Mean distance h(image2,image1) with different pixel sizes
{
typedef itk::ContourMeanDistanceImageFilter<Image2Type,Image1Type> FilterType;
FilterType::Pointer filter = FilterType::New();
Image1Type::SpacingType spacing1 = image1->GetSpacing();
spacing1[0]=spacing1[0]/2;
spacing1[1]=spacing1[1]/2;
spacing1[2]=spacing1[2]/2;
image1->SetSpacing(spacing1);
Image2Type::SpacingType spacing2 = image2->GetSpacing();
spacing2[0]=spacing2[0]/2;
spacing2[1]=spacing2[1]/2;
spacing2[2]=spacing2[2]/2;
image2->SetSpacing(spacing2);
filter->SetInput1( image2 );
filter->SetInput2( image1 );
filter->SetUseImageSpacing(true);
filter->Update();
// check results
FilterType::RealType trueDistance = 8.07158/2;
FilterType::RealType distance = filter->GetMeanDistance();
std::cout << " True distance: " << trueDistance << std::endl;
std::cout << " Computed distance: " << distance << std::endl;
if ( itk::Math::abs( trueDistance - distance ) > 0.5 )
{
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
}
std::cout << "Test passed. " << std::endl;
return EXIT_SUCCESS;
}
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