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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.processing.edges;
31  
32  import static java.lang.Math.atan;
33  import static java.lang.Math.sqrt;
34  
35  import org.openimaj.image.FImage;
36  import org.openimaj.image.analyser.ImageAnalyser;
37  
38  /**
39   * Using a simple sobel-like x and y derivative kernel, find edges in an image.
40   * @author Jonathon Hare (jsh2@ecs.soton.ac.uk)
41   * @author Sina Samangooei (ss@ecs.soton.ac.uk)
42   *
43   */
44  public class EdgeFinder implements ImageAnalyser<FImage> {
45  	protected float [][] kx;
46  	protected float [][] ky;
47  
48  	/**
49  	 * The magnitudes of each edge as worked out by the hypotenuse of the triangle formed by the dx and dy of a pixel
50  	 */
51  	public FImage magnitude;
52  	/**
53  	 * The direction of each edge as worked out by the angle between the triangle formed by the dx and dy of a pixel
54  	 */
55  	public FImage angle;
56  
57  	/**
58  	 * Find edges in an image using the following edge kernels
59  	 * @param kx
60  	 * @param ky
61  	 */
62  	public EdgeFinder(float [][] kx, float [][] ky) {
63  		this.kx = kx;
64  		this.ky = ky;
65  	}
66  
67  	/**
68  	 * Find the edges in an image using default, sobel like 5x5 derivative kernels
69  	 */
70  	public EdgeFinder() {
71  		kx = new float[][] {
72  				{+1, +1, 0, -1, -1},
73  				{+2, +2, 0, -2, -2},
74  				{+2, +2, 0, -2, -2},
75  				{+2, +2, 0, -2, -2},
76  				{+1, +1, 0, -1, -1}
77  		};
78  
79  		ky = new float[][] {
80  				{+1, +2, +2, +2, +1},
81  				{+1, +2, +2, +2, +1},
82  				{ 0,  0,  0,  0,  0},
83  				{-1, -2, -2, -2, -1},
84  				{-1, -2, -2, -2, -1}
85  		};
86  	}
87  
88  	/* (non-Javadoc)
89  	 * @see org.openimaj.image.processor.ImageProcessor#processImage(org.openimaj.image.Image)
90  	 */
91  	@Override
92  	public void analyseImage(FImage image) {
93  		int height = image.getHeight();
94  		int width = image.getWidth();
95  
96  		magnitude = new FImage(width, height);
97  		angle = new FImage(width, height);
98  
99  		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 }