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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 "itkMeanSquaresImageToImageMetricv4.h"
#include "itkTranslationTransform.h"
/*
* Simple test to run using unix 'time' function for speed test.
*/
int itkMeanSquaresImageToImageMetricv4SpeedTest(int argc, char *argv[] )
{
if( argc < 3 )
{
std::cerr << "usage: " << argv[0] << ": image-dimension number-of-reps" << std::endl;
return EXIT_FAILURE;
}
int imageSize = atoi( argv[1] );
int numberOfReps = atoi( argv[2] );
std::cout << "image dim: " << imageSize << ", reps: " << numberOfReps << std::endl;
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++;
++itFixed;
}
itk::ImageRegionIteratorWithIndex<ImageType> itMoving( movingImage, region );
itMoving.GoToBegin();
count = 1;
while( !itMoving.IsAtEnd() )
{
itMoving.Set( count*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::MeanSquaresImageToImageMetricv4< 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 );
/* Initialize. */
std::cout << "Calling Initialize..." << std::endl;
metric->Initialize();
// Evaluate with GetValueAndDerivative
MetricType::MeasureType valueReturn1;
MetricType::DerivativeType derivativeReturn;
MetricType::MeasureType sum = itk::NumericTraits<MetricType::MeasureType>::ZeroValue();
for( int r=0; r < numberOfReps; r++ )
{
metric->GetValueAndDerivative( valueReturn1, derivativeReturn );
//Sum results to prevent optimizations
sum += valueReturn1 + derivativeReturn[0];
}
std::cout << "sum: " << sum << std::endl;
return EXIT_SUCCESS;
}
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