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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.
*
*=========================================================================*/
// Ensure we do not get NaN's with a constant image
#include "itkScalarImageToCooccurrenceMatrixFilter.h"
#include "itkHistogramToTextureFeaturesFilter.h"
#include "itkMath.h"
int itkHistogramToTextureFeaturesFilterNaNTest( int, char * [])
{
const unsigned int Dimension = 2;
typedef unsigned char PixelType;
typedef itk::Image< PixelType, Dimension > ImageType;
// Build a constant image
ImageType::Pointer image = ImageType::New();
ImageType::RegionType region;
ImageType::SizeType size;
size.Fill( 256 );
region.SetSize( size );
image->SetRegions( region );
image->Allocate();
image->FillBuffer( 128 );
// Generate co-occurence matrix
typedef itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< ImageType > MatrixGeneratorType;
MatrixGeneratorType::Pointer generator = MatrixGeneratorType::New();
MatrixGeneratorType::OffsetType offset;
offset.Fill( 1 );
generator->SetOffset( offset );
generator->SetInput( image );
generator->Update();
typedef itk::Statistics::HistogramToTextureFeaturesFilter< MatrixGeneratorType::HistogramType > TextureFilterType;
TextureFilterType::Pointer filter = TextureFilterType::New();
filter->SetInput( generator->GetOutput() );
filter->Update();
TextureFilterType::MeasurementType correlation = filter->GetCorrelation();
std::cout << "Correlation: " << correlation << std::endl;
if( itk::Math::isnan( correlation ) )
{
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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