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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.
*
*=========================================================================*/
import org.itk.simple.*;
class IterationUpdate extends Command {
private ImageRegistrationMethod m_Method;
public IterationUpdate(ImageRegistrationMethod m) {
super();
m_Method=m;
}
public void execute() {
org.itk.simple.VectorDouble pos = m_Method.getOptimizerPosition();
System.out.format("%3d = %10.5f : [%f, %f]\n",
m_Method.getOptimizerIteration(),
m_Method.getMetricValue(),
pos.get(0), pos.get(1));
}
}
class ImageRegistrationMethod1 {
public static void main(String argv[]) {
if ( argv.length < 3 )
{
System.out.format( "Usage: %s <fixedImageFilter> <movingImageFile> <outputTransformFile>\n", "ImageRegistrationMethod1");
System.exit(-1);
}
org.itk.simple.ImageFileReader reader = new org.itk.simple.ImageFileReader();
reader.setOutputPixelType( PixelIDValueEnum.sitkFloat32 );
reader.setFileName(argv[0]);
Image fixed = reader.execute();
reader.setFileName(argv[1]);
Image moving = reader.execute();
org.itk.simple.ImageRegistrationMethod R = new org.itk.simple.ImageRegistrationMethod();
R.setMetricAsMeanSquares();
double maxStep = 4.0;
double minStep = 0.01;
int numberOfIterations = 200;
double relaxationFactor = 0.5;
R.setOptimizerAsRegularStepGradientDescent( maxStep,
minStep,
numberOfIterations,
relaxationFactor );
R.setInitialTransform( new org.itk.simple.TranslationTransform( fixed.getDimension() ) );
R.setInterpolator( InterpolatorEnum.sitkLinear );
IterationUpdate cmd = new IterationUpdate(R);
R.addCommand( EventEnum.sitkIterationEvent, cmd);
org.itk.simple.Transform outTx = R.execute( fixed, moving );
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(argv[2]);
}
}
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