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}