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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 "itkSimilarityIndexImageFilter.h"
#include "itkMath.h"
int itkSimilarityIndexImageFilterTest(int, char* [] )
{
typedef unsigned char Pixel1Type;
typedef float Pixel2Type;
enum { ImageDimension = 2 };
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( 8 );
image1->SetRegions( size );
image2->SetRegions( size );
image1->Allocate();
image2->Allocate();
unsigned long numOfPixels = image1->GetBufferedRegion().GetNumberOfPixels();
unsigned long lower1 = 0;
unsigned long upper1 = (unsigned long) ( (double)numOfPixels * 0.75 ) - 1;
unsigned long lower2 = (unsigned long) ( (double)numOfPixels * 0.25 );
unsigned long upper2 = numOfPixels - 1;
itk::ImageRegionIterator<Image1Type> it1( image1, image1->GetBufferedRegion() );
itk::ImageRegionIterator<Image2Type> it2( image2, image2->GetBufferedRegion() );
unsigned long count = 0;
while( !it1.IsAtEnd() || !it2.IsAtEnd() )
{
if ( !it1.IsAtEnd() )
{
if ( lower1 <= count && count <= upper1 )
{
it1.Set( 5 );
}
else
{
it1.Set( 0 );
}
++it1;
}
if ( !it2.IsAtEnd() )
{
if ( lower2 <= count && count <= upper2 )
{
it2.Set( 7.2 );
}
else
{
it2.Set( 0 );
}
++it2;
}
++count;
}
typedef itk::SimilarityIndexImageFilter<Image1Type,Image2Type> FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetInput1( image1 );
filter->SetInput2( image2 );
try
{
filter->Update();
}
catch( itk::ExceptionObject & err )
{
std::cout << "Caught an unexpected exception" << std::endl;
std::cout << err;
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
filter->Print(std::cout);
// check results
FilterType::RealType trueOverlap = 0.5 / 0.75;
FilterType::RealType overlap = filter->GetSimilarityIndex();
std::cout << " True index: " << trueOverlap << std::endl;
std::cout << " Computed index: " << overlap << std::endl;
if ( itk::Math::abs( trueOverlap - overlap ) > 0.1 )
{
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
// test case where both images are zero
Image1Type::Pointer image3 = Image1Type::New();
Image2Type::Pointer image4 = Image2Type::New();
image3->SetRegions( image1->GetBufferedRegion() );
image3->Allocate();
image3->FillBuffer( 0 );
image4->SetRegions( image2->GetBufferedRegion() );
image4->Allocate();
image4->FillBuffer( 0 );
filter->SetInput1( image3 );
filter->SetInput2( image4 );
filter->Update();
if ( itk::Math::NotExactlyEquals(filter->GetSimilarityIndex(), 0) )
{
std::cout << "Overlap: " << filter->GetSimilarityIndex() << std::endl;
std::cout << "Zero overlap expected." << std::endl;
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed. " << std::endl;
return EXIT_SUCCESS;
}
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