ITK  5.3.0
Insight Toolkit
SphinxExamples/src/Numerics/Optimizers/ExhaustiveOptimizer/Code.cxx
/*=========================================================================
*
* 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 "itkImage.h"
// Command observer to monitor the evolution of the registration process.
//
#include "itkCommand.h"
class CommandIterationUpdate : public itk::Command
{
public:
using Self = CommandIterationUpdate;
using Superclass = itk::Command;
using Pointer = itk::SmartPointer<Self>;
itkNewMacro(Self);
protected:
CommandIterationUpdate() = default;
public:
using OptimizerType = itk::ExhaustiveOptimizerv4<double>;
using OptimizerPointer = const OptimizerType *;
void
Execute(itk::Object * caller, const itk::EventObject & event) override
{
Execute((const itk::Object *)caller, event);
}
void
Execute(const itk::Object * object, const itk::EventObject & event) override
{
auto optimizer = static_cast<OptimizerPointer>(object);
if (!(itk::IterationEvent().CheckEvent(&event)))
{
return;
}
std::cout << "Iteration: ";
std::cout << optimizer->GetCurrentIteration() << " ";
std::cout << optimizer->GetCurrentIndex() << " ";
std::cout << optimizer->GetCurrentValue() << " ";
std::cout << optimizer->GetCurrentPosition() << " ";
std::cout << std::endl;
}
};
int
main(int argc, char * argv[])
{
if (argc < 3)
{
std::cout << "Usage: " << argv[0] << " fixedImage movingImage" << std::endl;
return EXIT_FAILURE;
}
using FixedImageType = itk::Image<double, 2>;
using MovingImageType = itk::Image<double, 2>;
using FixedImageReaderType = itk::ImageFileReader<FixedImageType>;
using MovingImageReaderType = itk::ImageFileReader<MovingImageType>;
using TransformType = itk::Euler2DTransform<double>;
using OptimizerType = itk::ExhaustiveOptimizerv4<double>;
FixedImageReaderType::Pointer fixedImageReader = FixedImageReaderType::New();
MovingImageReaderType::Pointer movingImageReader = MovingImageReaderType::New();
FixedImageType::Pointer fixedImage = FixedImageType::New();
MovingImageType::Pointer movingImage = MovingImageType::New();
TransformType::Pointer transform = TransformType::New();
MetricType::Pointer metric = MetricType::New();
OptimizerType::Pointer optimizer = OptimizerType::New();
RegistrationType::Pointer registration = RegistrationType::New();
TransformInitializerType::Pointer initializer = TransformInitializerType::New();
fixedImageReader->SetFileName(argv[1]);
fixedImageReader->Update();
fixedImage = fixedImageReader->GetOutput();
movingImageReader->SetFileName(argv[2]);
movingImageReader->Update();
movingImage = movingImageReader->GetOutput();
// Create the Command observer and register it with the optimizer.
//
CommandIterationUpdate::Pointer observer = CommandIterationUpdate::New();
optimizer->AddObserver(itk::IterationEvent(), observer);
unsigned int angles = 12;
OptimizerType::StepsType steps(transform->GetNumberOfParameters());
steps[0] = int(angles / 2);
steps[1] = 0;
steps[2] = 0;
optimizer->SetNumberOfSteps(steps);
OptimizerType::ScalesType scales(transform->GetNumberOfParameters());
scales[0] = 2.0 * itk::Math::pi / angles;
scales[1] = 1.0;
scales[2] = 1.0;
optimizer->SetScales(scales);
initializer->SetTransform(transform);
initializer->SetFixedImage(fixedImage);
initializer->SetMovingImage(movingImage);
initializer->InitializeTransform();
// Initialize registration
registration->SetMetric(metric);
registration->SetOptimizer(optimizer);
registration->SetFixedImage(fixedImage);
registration->SetMovingImage(movingImage);
registration->SetInitialTransform(transform);
registration->SetNumberOfLevels(1);
try
{
registration->Update();
std::cout << " MinimumMetricValue: " << optimizer->GetMinimumMetricValue() << std::endl;
std::cout << " MaximumMetricValue: " << optimizer->GetMaximumMetricValue() << std::endl;
std::cout << " MinimumMetricValuePosition: " << optimizer->GetMinimumMetricValuePosition() << std::endl;
std::cout << " MaximumMetricValuePosition: " << optimizer->GetMaximumMetricValuePosition() << std::endl;
std::cout << " StopConditionDescription: " << optimizer->GetStopConditionDescription() << std::endl;
}
catch (itk::ExceptionObject & err)
{
std::cerr << "ExceptionObject caught !" << std::endl;
std::cerr << err << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
itkEuler2DTransform.h
itk::ExhaustiveOptimizerv4
Optimizer that fully samples a grid on the parametric space.
Definition: itkExhaustiveOptimizerv4.h:79
itkCenteredTransformInitializer.h
itkImageFileReader.h
itkImage.h
itk::SmartPointer< Self >
itkImageRegistrationMethodv4.h
itkMeanSquaresImageToImageMetricv4.h
itk::ImageFileReader
Data source that reads image data from a single file.
Definition: itkImageFileReader.h:75
itk::Command
Superclass for callback/observer methods.
Definition: itkCommand.h:45
itkExhaustiveOptimizerv4.h
itk::Command
class ITK_FORWARD_EXPORT Command
Definition: itkObject.h:43
itk::Command::Execute
virtual void Execute(Object *caller, const EventObject &event)=0
itk::Euler2DTransform
Euler2DTransform of a vector space (e.g. space coordinates)
Definition: itkEuler2DTransform.h:41
itk::ImageRegistrationMethodv4
Interface method for the current registration framework.
Definition: itkImageRegistrationMethodv4.h:117
itk::MeanSquaresImageToImageMetricv4
Class implementing a mean squares metric.
Definition: itkMeanSquaresImageToImageMetricv4.h:46
itk::Object
Base class for most ITK classes.
Definition: itkObject.h:62
itk::Image
Templated n-dimensional image class.
Definition: itkImage.h:86
itk::EventObject
Abstraction of the Events used to communicating among filters and with GUIs.
Definition: itkEventObject.h:57
itk::Math::pi
static constexpr double pi
Definition: itkMath.h:64
itkCommand.h
itk::CenteredTransformInitializer
CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the ...
Definition: itkCenteredTransformInitializer.h:61