1 /** 2 * Copyright (c) 2011, The University of Southampton and the individual contributors. 3 * All rights reserved. 4 * 5 * Redistribution and use in source and binary forms, with or without modification, 6 * are permitted provided that the following conditions are met: 7 * 8 * * Redistributions of source code must retain the above copyright notice, 9 * this list of conditions and the following disclaimer. 10 * 11 * * Redistributions in binary form must reproduce the above copyright notice, 12 * this list of conditions and the following disclaimer in the documentation 13 * and/or other materials provided with the distribution. 14 * 15 * * Neither the name of the University of Southampton nor the names of its 16 * contributors may be used to endorse or promote products derived from this 17 * software without specific prior written permission. 18 * 19 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 20 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 21 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 22 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR 23 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 24 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 25 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON 26 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 27 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 28 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 29 */ 30 package org.openimaj.image.model.pixel; 31 32 import org.openimaj.image.MBFImage; 33 import org.openimaj.image.pixel.statistics.HistogramModel; 34 35 /** 36 * An {@link MBFPixelClassificationModel} that classifies an individual pixel by 37 * comparing it to a joint (colour) histogram. The histogram is learnt from the 38 * positive pixel samples given in training. The probability returned by the 39 * classification is determined from the value of the histogram bin in which the 40 * pixel being classified falls. 41 * 42 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 43 */ 44 public class HistogramPixelModel extends MBFPixelClassificationModel { 45 private static final long serialVersionUID = 1L; 46 47 /** 48 * The model histogram; public for speed. 49 */ 50 public HistogramModel model; 51 52 /** 53 * Construct with the given number of histogram bins per dimension. 54 * 55 * @param nbins 56 * number of bins per dimension. 57 */ 58 public HistogramPixelModel(int... nbins) { 59 super(nbins.length); 60 model = new HistogramModel(nbins); 61 } 62 63 @Override 64 protected float classifyPixel(Float[] pix) { 65 int bin = 0; 66 67 for (int i = 0; i < ndims; i++) { 68 int b = (int) (pix[i] * (model.histogram.nbins[i])); 69 if (b >= model.histogram.nbins[i]) 70 b = model.histogram.nbins[i] - 1; 71 72 int f = 1; 73 for (int j = 0; j < i; j++) 74 f *= model.histogram.nbins[j]; 75 76 bin += f * b; 77 } 78 79 return (float) model.histogram.values[bin]; 80 } 81 82 @Override 83 public String toString() { 84 return model.toString(); 85 } 86 87 @Override 88 public HistogramPixelModel clone() { 89 final HistogramPixelModel newmodel = new HistogramPixelModel(); 90 newmodel.model = model.clone(); 91 newmodel.ndims = ndims; 92 return newmodel; 93 } 94 95 @Override 96 public void learnModel(MBFImage... images) { 97 model.estimateModel(images); 98 } 99 }