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Playground for the ECS touchtable

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/**
 * Copyright (c) 2011, The University of Southampton and the individual contributors.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without modification,
 * are permitted provided that the following conditions are met:
 *
 *   * 	Redistributions of source code must retain the above copyright notice,
 * 	this list of conditions and the following disclaimer.
 *
 *   *	Redistributions in binary form must reproduce the above copyright notice,
 * 	this list of conditions and the following disclaimer in the documentation
 * 	and/or other materials provided with the distribution.
 *
 *   *	Neither the name of the University of Southampton nor the names of its
 * 	contributors may be used to endorse or promote products derived from this
 * 	software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */
package org.openimaj.demos.touchtable;

import org.openimaj.image.FImage;
import org.openimaj.image.processor.ImageProcessor;

public class FImageBackgroundLearner implements ImageProcessor {
	
	private FImage background;
	private int nImages = 0;
	private int toLearnWith;

	public FImageBackgroundLearner() {
		this.background = null;
		toLearnWith = 100;
	}
	
	public void relearn(){
		this.background = null;
		this.nImages = 0;
	}

	@Override
	public void processImage(FImage image) {
		if(this.background == null){
			background = image.clone().multiply(-1f);
			nImages  += 1;
			return;
		}
		
		for(int y = 0; y < image.height; y++){
			for(int x = 0; x < image.width; x++){
				double newSum = ( - background.pixels[y][x] * nImages) + image.pixels[y][x];
				background.pixels[y][x] = -(float)(newSum / (nImages+1));
			}
		}
		nImages++;
	}

	public boolean ready() {
		return nImages > toLearnWith;
	}

	public FImage getBackground() {
		return this.background;
	}

}