/*=========================================================================
*
*  Copyright NumFOCUS
*
*  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.
*
*=========================================================================*/
/**
 * Simple test of SimpleITK's java wrapping
 */


import org.itk.simple.*;

class SimpleGaussian {
 
  public static void main(String argv[]) {

    if ( argv.length < 3 ) {
      System.out.println("Usage: java SimpleGaussian <input> <sigma> <output>");
      return;
    }

    org.itk.simple.ImageFileReader reader = new org.itk.simple.ImageFileReader();
    reader.setFileName(argv[0]);
    Image img = reader.execute();

    SmoothingRecursiveGaussianImageFilter filter = new SmoothingRecursiveGaussianImageFilter();
    filter.setSigma( Double.valueOf( argv[1] ).doubleValue() );
    Image blurredImg = filter.execute(img);

    CastImageFilter caster = new CastImageFilter();
    caster.setOutputPixelType( img.getPixelID() );
    Image castImg = caster.execute( blurredImg );

    ImageFileWriter writer = new ImageFileWriter();
    writer.setFileName(argv[2]);
    writer.execute( castImg ); 

  }

}
