001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030package org.openimaj.demos.touchtable;
031
032import org.openimaj.image.FImage;
033import org.openimaj.image.processor.ImageProcessor;
034
035public class FImageBackgroundLearner implements ImageProcessor<FImage> {
036        
037        private FImage background;
038        private int nImages = 0;
039        private int toLearnWith;
040
041        public FImageBackgroundLearner() {
042                this.background = null;
043                toLearnWith = 100;
044        }
045        
046        public void relearn(){
047                this.background = null;
048                this.nImages = 0;
049        }
050
051        @Override
052        public void processImage(FImage image) {
053                if(this.background == null){
054                        background = image.clone().multiply(-1f);
055                        nImages  += 1;
056                        return;
057                }
058                
059                for(int y = 0; y < image.height; y++){
060                        for(int x = 0; x < image.width; x++){
061                                double newSum = ( - background.pixels[y][x] * nImages) + image.pixels[y][x];
062                                background.pixels[y][x] = -(float)(newSum / (nImages+1));
063                        }
064                }
065                nImages++;
066        }
067
068        public boolean ready() {
069                return nImages > toLearnWith;
070        }
071
072        public FImage getBackground() {
073                return this.background;
074        }
075
076}