ITK  5.0.0
Insight Segmentation and Registration Toolkit
WikiExamples/Metrics/MeanSquaresImageToImageMetric.cxx
#include "itkImage.h"
int main(int argc, char *argv[])
{
using ImageType = itk::Image< double, 2 >;
using ReaderType = itk::ImageFileReader<ImageType>;
if (argc < 3)
{
std::cout << "Usage: " << argv[0] << " imageFile1 imageFile2" << std::endl;
return EXIT_FAILURE;
}
ReaderType::Pointer fixedReader = ReaderType::New();
fixedReader->SetFileName(argv[1]);
fixedReader->Update();
ReaderType::Pointer movingReader = ReaderType::New();
movingReader->SetFileName(argv[2]);
movingReader->Update();
ImageType::Pointer fixedImage = fixedReader->GetOutput();
ImageType::Pointer movingImage = movingReader->GetOutput();
MetricType::Pointer metric = MetricType::New();
TransformType::Pointer transform = TransformType::New();
InterpolatorType::Pointer interpolator = InterpolatorType::New();
interpolator->SetInputImage( fixedImage );
metric->SetFixedImage( fixedImage );
metric->SetMovingImage( movingImage );
metric->SetFixedImageRegion( fixedImage->GetLargestPossibleRegion() );
metric->SetTransform( transform );
metric->SetInterpolator( interpolator );
TransformType::ParametersType params(transform->GetNumberOfParameters());
params.Fill(0.0);
metric->Initialize();
for (double x = -10.0; x <= 10.0; x+=5.0)
{
params(0) = x;
for (double y = -10.0; y <= 10.0; y+=5.0)
{
params(1) = y;
std::cout << params << ": " << metric->GetValue( params ) << std::endl;
}
}
return EXIT_SUCCESS;
}