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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 "itkMath.h"
#include "itkJointHistogramMutualInformationImageToImageMetricv4.h"
#include "itkTranslationTransform.h"
#include "itkMath.h"
/* Simple test to verify that class builds and runs.
* Results are not verified. See ImageToImageMetricv4Test
* for verification of basic metric functionality.
*
* TODO Numerical verification.
*/
int itkJointHistogramMutualInformationImageToImageMetricv4Test( int , char * [] )
{
const unsigned int imageSize = 10;
const unsigned int imageDimensionality = 3;
typedef itk::Image< double, imageDimensionality > ImageType;
ImageType::SizeType size;
size.Fill( imageSize );
ImageType::IndexType index;
index.Fill( 0 );
ImageType::RegionType region;
region.SetSize( size );
region.SetIndex( index );
ImageType::SpacingType spacing;
spacing.Fill(1.0);
ImageType::PointType origin;
origin.Fill(0);
ImageType::DirectionType direction;
direction.SetIdentity();
/* Create simple test images. */
ImageType::Pointer fixedImage = ImageType::New();
fixedImage->SetRegions( region );
fixedImage->SetSpacing( spacing );
fixedImage->SetOrigin( origin );
fixedImage->SetDirection( direction );
fixedImage->Allocate();
ImageType::Pointer movingImage = ImageType::New();
movingImage->SetRegions( region );
movingImage->SetSpacing( spacing );
movingImage->SetOrigin( origin );
movingImage->SetDirection( direction );
movingImage->Allocate();
/* Fill images */
itk::ImageRegionIterator<ImageType> itFixed( fixedImage, region );
itFixed.GoToBegin();
unsigned int count = 1;
while( !itFixed.IsAtEnd() )
{
itFixed.Set( count*count );
count++;
++itFixed;
}
itk::ImageRegionIteratorWithIndex<ImageType> itMoving( movingImage, region );
itMoving.GoToBegin();
count = 1;
while( !itMoving.IsAtEnd() )
{
itMoving.Set( (count) );
count++;
++itMoving;
}
/* Transforms */
typedef itk::TranslationTransform<double,imageDimensionality>
FixedTransformType;
typedef itk::TranslationTransform<double,imageDimensionality>
MovingTransformType;
FixedTransformType::Pointer fixedTransform = FixedTransformType::New();
MovingTransformType::Pointer movingTransform = MovingTransformType::New();
fixedTransform->SetIdentity();
movingTransform->SetIdentity();
/* The metric */
typedef itk::JointHistogramMutualInformationImageToImageMetricv4< ImageType,
ImageType,
ImageType >
MetricType;
MetricType::Pointer metric = MetricType::New();
/* Assign images and transforms.
* By not setting a virtual domain image or virtual domain settings,
* the metric will use the fixed image for the virtual domain. */
metric->SetFixedImage( fixedImage );
metric->SetMovingImage( movingImage );
metric->SetFixedTransform( fixedTransform );
metric->SetMovingTransform( movingTransform );
metric->SetNumberOfHistogramBins( 6 );
/* Initialize. */
try
{
std::cout << "Calling Initialize..." << std::endl;
metric->Initialize();
}
catch( itk::ExceptionObject & exc )
{
std::cout << "Caught unexpected exception during Initialize: "
<< exc;
return EXIT_FAILURE;
}
// Evaluate
MetricType::MeasureType valueReturn1, valueReturn2;
MetricType::DerivativeType derivativeReturn;
try
{
std::cout << "Calling GetValue..." << std::endl;
valueReturn1 = metric->GetValue();
std::cout << "Calling GetValueAndDerivative..." << std::endl;
metric->GetValueAndDerivative( valueReturn2, derivativeReturn );
}
catch( itk::ExceptionObject & exc )
{
std::cout << "Caught unexpected exception during GetValueAndDerivative: "
<< exc;
return EXIT_FAILURE;
}
if( itk::Math::NotExactlyEquals(valueReturn1, valueReturn2) )
{
std::cerr << "Value return results are not identical: " << valueReturn1
<< ", " << valueReturn2 << std::endl;
}
// Test that non-overlapping images will generate a warning
// and return max value for metric value.
MovingTransformType::ParametersType parameters(movingTransform->GetNumberOfParameters());
parameters.Fill( static_cast<MovingTransformType::ParametersValueType>(1000) );
movingTransform->SetParameters( parameters );
MetricType::MeasureType expectedMetricMax;
expectedMetricMax = itk::NumericTraits<MetricType::MeasureType>::max();
std::cout << "Testing non-overlapping images. Expect a warning:" << std::endl;
metric->GetValueAndDerivative( valueReturn2, derivativeReturn );
if( metric->GetNumberOfValidPoints() != 0 || itk::Math::NotAlmostEquals( valueReturn2, expectedMetricMax ) )
{
std::cerr << "Failed testing for non-overlapping images. " << std::endl
<< " Number of valid points: " << metric->GetNumberOfValidPoints() << std::endl
<< " Metric value: " << valueReturn2 << std::endl
<< " Expected metric max value: " << expectedMetricMax << std::endl;
}
movingTransform->SetIdentity();
std::cout << "Test passed." << std::endl;
//exercise methods
metric->SetVarianceForJointPDFSmoothing(3);
metric->GetVarianceForJointPDFSmoothing();
return EXIT_SUCCESS;
}
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