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.analysis.watershed;
31
32 import java.util.ArrayList;
33 import java.util.List;
34
35 import org.openimaj.image.FImage;
36 import org.openimaj.image.analysis.watershed.event.ComponentStackMergeListener;
37 import org.openimaj.image.analysis.watershed.feature.ComponentFeature;
38 import org.openimaj.image.pixel.IntValuePixel;
39
40 /**
41 * Detector for Maximally-Stable Extremal Regions. The actual image analysis is
42 * in the class {@link WatershedProcessorAlgorithm} to allow this class to be
43 * re-used efficiently.
44 *
45 * @author David Dupplaw (dpd@ecs.soton.ac.uk)
46 *
47 */
48 public class WatershedProcessor
49 {
50 /** This is where we start "pouring" our water */
51 private IntValuePixel startPixel = new IntValuePixel(0, 0);
52
53 /** A list of objects that want to know what components on the stack merge */
54 private List<ComponentStackMergeListener> csmListeners = null;
55
56 private Class<? extends ComponentFeature>[] featureClasses;
57
58 /**
59 * Default constructor.
60 *
61 * @param featureClasses
62 * classes for feature creation
63 */
64 @SafeVarargs
65 public WatershedProcessor(Class<? extends ComponentFeature>... featureClasses)
66 {
67 this.csmListeners = new ArrayList<ComponentStackMergeListener>();
68 this.featureClasses = featureClasses;
69 }
70
71 /**
72 * Process the given image.
73 *
74 * @param greyscaleImage
75 * The image to process
76 */
77 public void processImage(FImage greyscaleImage) {
78 final WatershedProcessorAlgorithm d = new WatershedProcessorAlgorithm(greyscaleImage, this.startPixel,
79 featureClasses);
80
81 for (final ComponentStackMergeListener csm : csmListeners)
82 d.addComponentStackMergeListener(csm);
83
84 d.startPour();
85 }
86
87 /**
88 * Add a component stack merge listener
89 *
90 * @param csml
91 * The {@link ComponentStackMergeListener} to add
92 */
93 public void addComponentStackMergeListener(ComponentStackMergeListener csml)
94 {
95 csmListeners.add(csml);
96 }
97
98 }