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itkMeanSquaresImageToImageMetricv4OnVectorTest2.cxx
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itkMeanSquaresImageToImageMetricv4OnVectorTest2.cxx
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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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"
#include "itkVectorImageToImageMetricTraitsv4.h"
/*
* Compare metric evaluation of scalar image and vector image.
* Serves as a numerical verification of vector image metric evaluation.
*/
template <typename TMetric>
int
itkMeanSquaresImageToImageMetricv4OnVectorTest2Run(typename TMetric::MeasureType & measureReturn,
typename TMetric::DerivativeType & derivativeReturn)
{
constexpr unsigned int imageSize = 5;
constexpr unsigned int imageDimensionality = 3;
using ImageType = typename TMetric::FixedImageType;
typename ImageType::SizeType size;
size.Fill(imageSize);
typename ImageType::IndexType index;
index.Fill(0);
typename ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(index);
typename ImageType::SpacingType spacing;
spacing.Fill(1.0);
typename ImageType::PointType origin;
origin.Fill(0);
typename ImageType::DirectionType direction;
direction.SetIdentity();
/* Create simple test images. */
typename ImageType::Pointer fixedImage = ImageType::New();
fixedImage->SetRegions(region);
fixedImage->SetSpacing(spacing);
fixedImage->SetOrigin(origin);
fixedImage->SetDirection(direction);
fixedImage->Allocate();
typename ImageType::Pointer movingImage = ImageType::New();
movingImage->SetRegions(region);
movingImage->SetSpacing(spacing);
movingImage->SetOrigin(origin);
movingImage->SetDirection(direction);
movingImage->Allocate();
/*
* Fill both images
*/
using PixelType = typename ImageType::PixelType;
itk::ImageRegionIterator<ImageType> itFixed(fixedImage, region);
itk::ImageRegionIteratorWithIndex<ImageType> itMoving(movingImage, region);
itFixed.GoToBegin();
itMoving.GoToBegin();
unsigned int count = 1;
while (!itFixed.IsAtEnd())
{
PixelType pix1(count);
PixelType pix2(1.0 / count);
itFixed.Set(pix1);
itMoving.Set(pix2);
count++;
++itFixed;
++itMoving;
}
/* Transforms */
using FixedTransformType = itk::TranslationTransform<double, imageDimensionality>;
using MovingTransformType = itk::TranslationTransform<double, imageDimensionality>;
typename FixedTransformType::Pointer fixedTransform = FixedTransformType::New();
typename MovingTransformType::Pointer movingTransform = MovingTransformType::New();
fixedTransform->SetIdentity();
movingTransform->SetIdentity();
typename TMetric::Pointer metric = TMetric::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->SetMaximumNumberOfWorkUnits(1);
metric->DebugOn();
/* Initialize. */
try
{
std::cout << "Calling Initialize..." << std::endl;
metric->Initialize();
}
catch (const itk::ExceptionObject & exc)
{
std::cerr << "Caught unexpected exception during Initialize: " << exc << std::endl;
return EXIT_FAILURE;
}
std::cout << "Initialized" << std::endl;
/* Evaluate with GetValueAndDerivative */
try
{
std::cout << "Calling GetValueAndDerivative..." << std::endl;
metric->GetValueAndDerivative(measureReturn, derivativeReturn);
}
catch (const itk::ExceptionObject & exc)
{
std::cerr << "Caught unexpected exception during GetValueAndDerivative: " << exc;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
///////////////////////////////////////////////////////////////////////
int
itkMeanSquaresImageToImageMetricv4OnVectorTest2(int, char ** const)
{
constexpr unsigned int imageDimensionality = 3;
constexpr unsigned int vectorLength = 3;
/* The vector metric */
using VectorType = itk::Vector<double, vectorLength>;
using VectorImageType = itk::Image<VectorType, imageDimensionality>;
using MetricTraitsType =
itk::VectorImageToImageMetricTraitsv4<VectorImageType, VectorImageType, VectorImageType, vectorLength, double>;
using VectorMetricType =
itk::MeanSquaresImageToImageMetricv4<VectorImageType, VectorImageType, VectorImageType, double, MetricTraitsType>;
VectorMetricType::MeasureType vectorMeasure = 0.0;
VectorMetricType::DerivativeType vectorDerivative;
vectorDerivative.Fill(0);
itkMeanSquaresImageToImageMetricv4OnVectorTest2Run<VectorMetricType>(vectorMeasure, vectorDerivative);
std::cout << "vectorMeasure: " << vectorMeasure << " vectorDerivative: " << vectorDerivative << std::endl;
/* The scalar metric */
using ScalarImageType = itk::Image<double, imageDimensionality>;
using ScalarMetricType = itk::MeanSquaresImageToImageMetricv4<ScalarImageType, ScalarImageType, ScalarImageType>;
ScalarMetricType::MeasureType scalarMeasure = 0.0;
ScalarMetricType::DerivativeType scalarDerivative;
scalarDerivative.Fill(0);
itkMeanSquaresImageToImageMetricv4OnVectorTest2Run<ScalarMetricType>(scalarMeasure, scalarDerivative);
std::cout << "scalarMeasure: " << scalarMeasure << " scalarDerivative: " << scalarDerivative << std::endl;
/* Compare */
double tolerance = 1e-8;
if (std::fabs(scalarMeasure - (vectorMeasure / vectorLength)) > tolerance)
{
std::cerr << "Measures do not match within tolerance. scalarMeasure, vectorMeasure: " << scalarMeasure << ", "
<< vectorMeasure << std::endl;
return EXIT_FAILURE;
}
std::cout << "Measure values match." << std::endl;
for (itk::SizeValueType n = 0; n < scalarDerivative.Size(); n++)
{
if (std::fabs(scalarDerivative[n] - (vectorDerivative[n] / vectorLength)) > tolerance)
{
std::cerr << "Derivatives do not match within tolerance. scalarDerivative, vectorDerivative: " << scalarDerivative
<< std::endl
<< vectorDerivative << std::endl;
return EXIT_FAILURE;
}
}
std::cout << "Derivative values match." << std::endl;
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}