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.edges; 031 032import static java.lang.Math.atan; 033import static java.lang.Math.sqrt; 034 035import org.openimaj.image.FImage; 036import org.openimaj.image.analyser.ImageAnalyser; 037 038/** 039 * Using a simple sobel-like x and y derivative kernel, find edges in an image. 040 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk) 041 * @author Sina Samangooei (ss@ecs.soton.ac.uk) 042 * 043 */ 044public class EdgeFinder implements ImageAnalyser<FImage> { 045 protected float [][] kx; 046 protected float [][] ky; 047 048 /** 049 * The magnitudes of each edge as worked out by the hypotenuse of the triangle formed by the dx and dy of a pixel 050 */ 051 public FImage magnitude; 052 /** 053 * The direction of each edge as worked out by the angle between the triangle formed by the dx and dy of a pixel 054 */ 055 public FImage angle; 056 057 /** 058 * Find edges in an image using the following edge kernels 059 * @param kx 060 * @param ky 061 */ 062 public EdgeFinder(float [][] kx, float [][] ky) { 063 this.kx = kx; 064 this.ky = ky; 065 } 066 067 /** 068 * Find the edges in an image using default, sobel like 5x5 derivative kernels 069 */ 070 public EdgeFinder() { 071 kx = new float[][] { 072 {+1, +1, 0, -1, -1}, 073 {+2, +2, 0, -2, -2}, 074 {+2, +2, 0, -2, -2}, 075 {+2, +2, 0, -2, -2}, 076 {+1, +1, 0, -1, -1} 077 }; 078 079 ky = new float[][] { 080 {+1, +2, +2, +2, +1}, 081 {+1, +2, +2, +2, +1}, 082 { 0, 0, 0, 0, 0}, 083 {-1, -2, -2, -2, -1}, 084 {-1, -2, -2, -2, -1} 085 }; 086 } 087 088 /* (non-Javadoc) 089 * @see org.openimaj.image.processor.ImageProcessor#processImage(org.openimaj.image.Image) 090 */ 091 @Override 092 public void analyseImage(FImage image) { 093 int height = image.getHeight(); 094 int width = image.getWidth(); 095 096 magnitude = new FImage(width, height); 097 angle = new FImage(width, height); 098 099 int w = (kx.length - 1) / 2; 100 101 for (int y=w+1; y<height-w; y++) { 102 for (int x=w+1; x<width-w; x++) { 103 //compute gradient 104 double gx = 0; 105 double gy = 0; 106 for (int j=0; j<kx.length; j++) { 107 for (int i=0; i<kx.length; i++) { 108 gx += image.pixels[y-w+j][x-w+i] * kx[j][i]; 109 gy += image.pixels[y-w+j][x-w+i] * ky[j][i]; 110 } 111 } 112 113 magnitude.pixels[y][x] = (float) sqrt(gx*gx + gy*gy); 114 115 if(gy!=0) 116 angle.pixels[y][x] = (float) atan(gx/-gy); 117 else 118 angle.pixels[y][x] = 1.57f; 119 } 120 } 121 } 122}