static void Main(string[] args)
{
if (args.Length < 3)
{
Console.WriteLine("Usage: %s <fixedImageFilter> <movingImageFile> <outputTransformFile>\n", "ImageRegistrationMethod2");
return;
}
ImageFileReader reader = new ImageFileReader();
reader.SetOutputPixelType(PixelIDValueEnum.sitkFloat32);
reader.SetFileName(args[0]);
Image fixedImage = reader.Execute();
fixedImage = SimpleITK.Normalize(fixedImage);
SimpleITK.DiscreteGaussian(fixedImage, 2.0);
reader.SetFileName(args[1]);
Image movingImage = reader.Execute();
movingImage = SimpleITK.Normalize(movingImage);
movingImage = SimpleITK.DiscreteGaussian(movingImage, 2.0);
ImageRegistrationMethod R = new ImageRegistrationMethod();
R.SetMetricAsJointHistogramMutualInformation();
double learningRate = 1;
uint numberOfIterations = 200;
double convergenceMinimumValue = 1e-4;
uint convergenceWindowSize = 5;
R.SetOptimizerAsGradientDescentLineSearch(learningRate,
numberOfIterations,
convergenceMinimumValue,
convergenceWindowSize);
R.SetInitialTransform(new TranslationTransform(fixedImage.GetDimension()));
R.SetInterpolator(InterpolatorEnum.sitkLinear);
IterationUpdate cmd = new IterationUpdate(R);
R.AddCommand(EventEnum.sitkIterationEvent, cmd);
Transform outTx = R.Execute(fixedImage, movingImage);
outTx.WriteTransform(args[2]);
}
static void Main(string[] args)
{
if (args.Length < 3)
{
Console.WriteLine("Usage: %s <fixedImageFilter> <movingImageFile> <outputTransformFile>\n", "ImageRegistrationMethod1");
return;
}
ImageFileReader reader = new ImageFileReader();
reader.SetOutputPixelType(PixelIDValueEnum.sitkFloat32);
reader.SetFileName(args[0]);
Image fixedImage = reader.Execute();
reader.SetFileName(args[1]);
Image movingImage = reader.Execute();
ImageRegistrationMethod R = new ImageRegistrationMethod();
R.SetMetricAsMeanSquares();
double maxStep = 4.0;
double minStep = 0.01;
uint numberOfIterations = 200;
double relaxationFactor = 0.5;
R.SetOptimizerAsRegularStepGradientDescent(maxStep,
minStep,
numberOfIterations,
relaxationFactor);
R.SetInitialTransform(new TranslationTransform(fixedImage.GetDimension()));
R.SetInterpolator(InterpolatorEnum.sitkLinear);
IterationUpdate cmd = new IterationUpdate(R);
R.AddCommand(EventEnum.sitkIterationEvent, cmd);
Transform outTx = R.Execute(fixedImage, movingImage);
// System.out.println("-------");
// System.out.println(outTx.toString());
// System.out.format("Optimizer stop condition: %s\n", R.getOptimizerStopConditionDescription());
// System.out.format(" Iteration: %d\n", R.getOptimizerIteration());
// System.out.format(" Metric value: %f\n", R.getMetricValue());
outTx.WriteTransform(args[2]);
}
static void Main(string[] args)
{
if ( args.Length < 3 )
{
Console.WriteLine("Usage: %s <fixedImageFilter> <movingImageFile> <outputTransformFile>\n", "ImageRegistrationMethod1");
return;
}
ImageFileReader reader = new ImageFileReader();
reader.SetOutputPixelType( PixelIDValueEnum.sitkFloat32 );
reader.SetFileName(args[0]);
Image fixedImage = reader.Execute();
reader.SetFileName(args[1]);
Image movingImage = reader.Execute();
ImageRegistrationMethod R = new ImageRegistrationMethod();
R.SetMetricAsMeanSquares();
double maxStep = 4.0;
double minStep = 0.01;
uint numberOfIterations = 200;
double relaxationFactor = 0.5;
R.SetOptimizerAsRegularStepGradientDescent( maxStep,
minStep,
numberOfIterations,
relaxationFactor );
R.SetInitialTransform( new TranslationTransform( fixedImage.GetDimension() ) );
R.SetInterpolator( InterpolatorEnum.sitkLinear );
IterationUpdate cmd = new IterationUpdate(R);
R.AddCommand(EventEnum.sitkIterationEvent, cmd);
Transform outTx = R.Execute( fixedImage, movingImage );
// System.out.println("-------");
// System.out.println(outTx.toString());
// System.out.format("Optimizer stop condition: %s\n", R.getOptimizerStopConditionDescription());
// System.out.format(" Iteration: %d\n", R.getOptimizerIteration());
// System.out.format(" Metric value: %f\n", R.getMetricValue());
outTx.WriteTransform(args[2]);
}
