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.image.processing.threshold; 031 032import org.openimaj.image.FImage; 033import org.openimaj.image.processing.algorithm.FilterSupport; 034import org.openimaj.image.processing.algorithm.MedianFilter; 035 036/** 037 * Adaptive local thresholding using the median of the patch and an offset. 038 * 039 * @see <a 040 * href="http://homepages.inf.ed.ac.uk/rbf/HIPR2/adpthrsh.htm">http://homepages.inf.ed.ac.uk/rbf/HIPR2/adpthrsh.htm</a> 041 * 042 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 043 * 044 */ 045public class AdaptiveLocalThresholdMedian extends AbstractLocalThreshold { 046 float offset = 0; 047 048 /** 049 * Construct the thresholding operator with the given patch size (assumed 050 * square) 051 * 052 * @param size 053 * size of the local image patch 054 */ 055 public AdaptiveLocalThresholdMedian(int size) { 056 super(size); 057 } 058 059 /** 060 * Construct the thresholding operator with the given patch size 061 * 062 * @param size_x 063 * width of patch 064 * @param size_y 065 * height of patch 066 */ 067 public AdaptiveLocalThresholdMedian(int size_x, int size_y) { 068 super(size_x, size_y); 069 } 070 071 /** 072 * Construct the thresholding operator with the given patch size (assumed 073 * square) and offset 074 * 075 * @param size 076 * size of the local image patch 077 * @param offset 078 * offset from the patch mean at which the threshold occurs 079 */ 080 public AdaptiveLocalThresholdMedian(int size, float offset) { 081 this(size, size, offset); 082 } 083 084 /** 085 * Construct the thresholding operator with the given patch size and offset 086 * 087 * @param size_x 088 * width of patch 089 * @param size_y 090 * height of patch 091 * @param offset 092 * offset from the patch mean at which the threshold occurs 093 */ 094 public AdaptiveLocalThresholdMedian(int size_x, int size_y, float offset) { 095 super(size_x, size_y); 096 this.offset = offset; 097 } 098 099 @Override 100 public void processImage(FImage image) { 101 final FImage tmp = image.process(new MedianFilter(FilterSupport.createBlockSupport(sizeX, sizeY))); 102 103 final float[][] tpix = tmp.pixels; 104 final float[][] ipix = image.pixels; 105 for (int y = 0; y < image.height; y++) 106 for (int x = 0; x < image.width; x++) 107 tpix[y][x] = ipix[y][x] < (tpix[y][x] - offset) ? 0f : 1f; 108 109 image.internalAssign(tmp); 110 } 111}