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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 "itkTranslationTransform.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkMeanSquaresPointSetToImageMetric.h"
#include "itkGaussianImageSource.h"
#include "itkPointSet.h"
#include <iostream>
#include "itkStdStreamStateSave.h"
/**
* This test uses two 2D-Gaussians (standard deviation RegionSize/2)
* One is shifted by 5 pixels from the other.
*
* This test computes the MeanSquares value and derivatives
* for various shift values in (-10,10).
*
*/
int itkMeanSquaresPointSetToImageMetricTest(int, char* [] )
{
// Save the format stream variables for std::cout
// They will be restored when coutState goes out of scope
itk::StdStreamStateSave coutState(std::cout);
//------------------------------------------------------------
// Create two simple images
//------------------------------------------------------------
const unsigned int ImageDimension = 2;
typedef double PixelType;
typedef double CoordinateRepresentationType;
//Allocate Images
typedef itk::Image<PixelType,ImageDimension> MovingImageType;
typedef itk::Image<PixelType,ImageDimension> FixedImageType;
// Declare Gaussian Sources
typedef itk::GaussianImageSource< MovingImageType > MovingImageSourceType;
typedef itk::GaussianImageSource< FixedImageType > FixedImageSourceType;
// Note: the following declarations are classical arrays
FixedImageType::SizeValueType fixedImageSize[] = { 100, 100 };
MovingImageType::SizeValueType movingImageSize[] = { 100, 100 };
FixedImageType::SpacingValueType fixedImageSpacing[] = { 1.0f, 1.0f };
MovingImageType::SpacingValueType movingImageSpacing[] = { 1.0f, 1.0f };
FixedImageType::PointValueType fixedImageOrigin[] = { 0.0f, 0.0f };
MovingImageType::PointValueType movingImageOrigin[] = { 0.0f, 0.0f };
MovingImageSourceType::Pointer movingImageSource = MovingImageSourceType::New();
FixedImageSourceType::Pointer fixedImageSource = FixedImageSourceType::New();
fixedImageSource->SetSize( fixedImageSize );
fixedImageSource->SetOrigin( fixedImageOrigin );
fixedImageSource->SetSpacing( fixedImageSpacing );
fixedImageSource->SetNormalized( false );
fixedImageSource->SetScale( 250.0f );
movingImageSource->SetSize( movingImageSize );
movingImageSource->SetOrigin( movingImageOrigin );
movingImageSource->SetSpacing( movingImageSpacing );
movingImageSource->SetNormalized( false );
movingImageSource->SetScale( 250.0f );
movingImageSource->Update(); // Force the filter to run
fixedImageSource->Update(); // Force the filter to run
MovingImageType::Pointer movingImage = movingImageSource->GetOutput();
FixedImageType::Pointer fixedImage = fixedImageSource->GetOutput();
//-----------------------------------------------------------
// Create the point set and load it with data by sampling
// the fixed image
//-----------------------------------------------------------
typedef itk::PointSet< float, 2 > FixedPointSetType;
FixedPointSetType::Pointer fixedPointSet = FixedPointSetType::New();
const unsigned int numberOfPoints = 100;
fixedPointSet->SetPointData( FixedPointSetType::PointDataContainer::New() );
fixedPointSet->GetPoints()->Reserve( numberOfPoints );
fixedPointSet->GetPointData()->Reserve( numberOfPoints );
itk::ImageRegionIterator< FixedImageType > it( fixedImage,
fixedImage->GetBufferedRegion() );
const unsigned int skip =
fixedImage->GetBufferedRegion().GetNumberOfPixels() / numberOfPoints;
unsigned int counter = 0;
FixedPointSetType::PointIdentifier pointId = 0;
FixedPointSetType::PointType point;
it.GoToBegin();
while( !it.IsAtEnd() )
{
if( counter==0 )
{
fixedImage->TransformIndexToPhysicalPoint( it.GetIndex(), point );
std::cout << "******************* " << pointId << ":" << point << std::endl;
fixedPointSet->SetPoint( pointId, point );
fixedPointSet->SetPointData( pointId, it.Get() );
++pointId;
if( pointId == numberOfPoints )
{
break;
}
counter = skip;
}
--counter;
++it;
}
// print the points accessed via iterator
FixedPointSetType::PointsContainer::ConstIterator pointItr = fixedPointSet->GetPoints()->Begin();
FixedPointSetType::PointsContainer::ConstIterator pointEnd = fixedPointSet->GetPoints()->End();
while (pointItr != pointEnd)
{
std::cout << pointItr.Value() << std::endl;
++pointItr;
}
//-----------------------------------------------------------
// Set up the Metric
//-----------------------------------------------------------
typedef itk::MeanSquaresPointSetToImageMetric<
FixedPointSetType,
MovingImageType >
MetricType;
typedef MetricType::TransformType TransformBaseType;
typedef TransformBaseType::ParametersType ParametersType;
MetricType::Pointer metric = MetricType::New();
//-----------------------------------------------------------
// Plug the Images into the metric
//-----------------------------------------------------------
metric->SetFixedPointSet( fixedPointSet );
metric->SetMovingImage( movingImage );
//-----------------------------------------------------------
// Set up a Transform
//-----------------------------------------------------------
typedef itk::TranslationTransform<
CoordinateRepresentationType,
ImageDimension > TransformType;
TransformType::Pointer transform = TransformType::New();
metric->SetTransform( transform.GetPointer() );
//------------------------------------------------------------
// Set up an Interpolator
//------------------------------------------------------------
typedef itk::LinearInterpolateImageFunction<
MovingImageType,
double > InterpolatorType;
InterpolatorType::Pointer interpolator = InterpolatorType::New();
interpolator->SetInputImage( movingImage.GetPointer() );
metric->SetInterpolator( interpolator.GetPointer() );
std::cout << metric << std::endl;
//------------------------------------------------------------
// This call is mandatory before start querying the Metric
// This method do all the necessary connections between the
// internal components: Interpolator, Transform and Images
//------------------------------------------------------------
try {
metric->Initialize();
}
catch( itk::ExceptionObject & e )
{
std::cout << "Metric initialization failed" << std::endl;
std::cout << "Reason " << e.GetDescription() << std::endl;
return EXIT_FAILURE;
}
//------------------------------------------------------------
// Set up transform parameters
//------------------------------------------------------------
ParametersType parameters( transform->GetNumberOfParameters() );
// initialize the offset/vector part
for( unsigned int k = 0; k < ImageDimension; k++ )
{
parameters[k]= 0.0f;
}
//---------------------------------------------------------
// Print out metric values
// for parameters[1] = {-10,10} (arbitrary choice...)
//---------------------------------------------------------
MetricType::MeasureType measure;
MetricType::DerivativeType derivative;
std::cout << "param[1] Metric d(Metric)/d(param[1] " << std::endl;
for( double trans = -10; trans <= 5; trans += 0.2 )
{
parameters[1] = trans;
metric->GetValueAndDerivative( parameters, measure, derivative );
std::cout.width(5);
std::cout.precision(5);
std::cout << trans;
std::cout.width(15);
std::cout.precision(5);
std::cout << measure;
std::cout.width(15);
std::cout.precision(5);
std::cout << derivative[1];
std::cout << std::endl;
// exercise the other functions
metric->GetValue( parameters );
metric->GetDerivative( parameters, derivative );
}
//-------------------------------------------------------
// exercise misc member functions
//-------------------------------------------------------
std::cout << "Check case when Target is ITK_NULLPTR" << std::endl;
metric->SetFixedPointSet( ITK_NULLPTR );
try
{
std::cout << "Value = " << metric->GetValue( parameters );
std::cout << "If you are reading this message the Metric " << std::endl;
std::cout << "is NOT managing exceptions correctly " << std::endl;
return EXIT_FAILURE;
}
catch( itk::ExceptionObject & e )
{
std::cout << "Exception received (as expected) " << std::endl;
std::cout << "Description : " << e.GetDescription() << std::endl;
std::cout << "Location : " << e.GetLocation() << std::endl;
std::cout << "Test for exception throwing... PASSED ! " << std::endl;
}
try
{
metric->GetValueAndDerivative( parameters, measure, derivative );
std::cout << "Value = " << measure << std::endl;
std::cout << "If you are reading this message the Metric " << std::endl;
std::cout << "is NOT managing exceptions correctly " << std::endl;
return EXIT_FAILURE;
}
catch( itk::ExceptionObject & e )
{
std::cout << "Exception received (as expected) " << std::endl;
std::cout << "Description : " << e.GetDescription() << std::endl;
std::cout << "Location : " << e.GetLocation() << std::endl;
std::cout << "Test for exception throwing... PASSED ! " << std::endl;
}
return EXIT_SUCCESS;
}
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