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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkImageRegistrationMethodTest.cxx,v $
Language: C++
Date: $Date: 2004-04-21 22:09:39 $
Version: $Revision: 1.18 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifdef _WIN32
#pragma warning ( disable : 4786 )
#endif
#include "itkImageRegistrationMethod.h"
#include "itkTranslationTransform.h"
#include "itkMeanSquaresImageToImageMetric.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkRegularStepGradientDescentOptimizer.h"
#include "itkTextOutput.h"
/**
* This program test one instantiation of the itk::ImageRegistrationMethod class
*
* This file tests initialization errors.
*/
int itkImageRegistrationMethodTest(int, char* [] )
{
itk::OutputWindow::SetInstance(itk::TextOutput::New().GetPointer());
bool pass;
const unsigned int dimension = 3;
// Fixed Image Type
typedef itk::Image<float,dimension> FixedImageType;
// Moving Image Type
typedef itk::Image<char,dimension> MovingImageType;
// Transform Type
typedef itk::TranslationTransform< double, dimension > TransformType;
// Optimizer Type
typedef itk::RegularStepGradientDescentOptimizer OptimizerType;
// Metric Type
typedef itk::MeanSquaresImageToImageMetric<
FixedImageType,
MovingImageType > MetricType;
// Interpolation technique
typedef itk:: LinearInterpolateImageFunction<
MovingImageType,
double > InterpolatorType;
// Registration Method
typedef itk::ImageRegistrationMethod<
FixedImageType,
MovingImageType > RegistrationType;
MetricType::Pointer metric = MetricType::New();
TransformType::Pointer transform = TransformType::New();
OptimizerType::Pointer optimizer = OptimizerType::New();
FixedImageType::Pointer fixedImage = FixedImageType::New();
MovingImageType::Pointer movingImage = MovingImageType::New();
InterpolatorType::Pointer interpolator = InterpolatorType::New();
RegistrationType::Pointer registration = RegistrationType::New();
FixedImageType::SizeType size;
size.Fill( 4 ); // the size of image have to be at least 4 in each dimension to
// compute gradient image inside the metric.
FixedImageType::RegionType region( size );
fixedImage->SetRegions( region );
fixedImage->Allocate();
fixedImage->FillBuffer( 3.0 );
movingImage->SetRegions( region );
movingImage->Allocate();
movingImage->FillBuffer( 4 );
registration->SetMetric( metric );
registration->SetOptimizer( optimizer );
registration->SetTransform( transform );
registration->SetFixedImage( fixedImage );
registration->SetMovingImage( movingImage );
registration->SetInterpolator( interpolator );
// Exercise Get methods
std::cout << "metric: " << registration->GetMetric() << std::endl;
std::cout << "optimizer: " << registration->GetOptimizer() << std::endl;
std::cout << "transform: " << registration->GetTransform() << std::endl;
std::cout << "fixed image: " << registration->GetFixedImage() << std::endl;
std::cout << "moving image: " << registration->GetMovingImage() << std::endl;
std::cout << "interpolator: " << registration->GetInterpolator() << std::endl;
std::cout << "initial parameters: ";
std::cout << registration->GetInitialTransformParameters() << std::endl;
typedef RegistrationType::ParametersType ParametersType;
ParametersType initialParameters( transform->GetNumberOfParameters() );
initialParameters.Fill(0);
ParametersType badParameters( 2 );
badParameters.Fill( 5 );
registration->SetInitialTransformParameters( initialParameters );
std::cout << registration;
/****************************************************
* Test out initialization errors
****************************************************/
#define TEST_INITIALIZATION_ERROR( ComponentName, badComponent, goodComponent ) \
registration->Set##ComponentName( badComponent ); \
try \
{ \
pass = false; \
registration->Update(); \
} \
catch( itk::ExceptionObject& err ) \
{ \
std::cout << "Caught expected ExceptionObject" << std::endl; \
std::cout << err << std::endl; \
pass = true; \
} \
registration->Set##ComponentName( goodComponent ); \
\
if( !pass ) \
{ \
std::cout << "Test failed." << std::endl; \
return EXIT_FAILURE; \
}
TEST_INITIALIZATION_ERROR( InitialTransformParameters, badParameters, initialParameters );
TEST_INITIALIZATION_ERROR( Metric, NULL, metric );
TEST_INITIALIZATION_ERROR( Optimizer, NULL, optimizer );
TEST_INITIALIZATION_ERROR( Transform, NULL, transform );
TEST_INITIALIZATION_ERROR( FixedImage, NULL, fixedImage );
TEST_INITIALIZATION_ERROR( MovingImage, NULL, movingImage );
TEST_INITIALIZATION_ERROR( Interpolator, NULL, interpolator );
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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