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.analysis.watershed; 031 032import java.util.ArrayList; 033import java.util.List; 034 035import org.openimaj.image.FImage; 036import org.openimaj.image.analysis.watershed.event.ComponentStackMergeListener; 037import org.openimaj.image.analysis.watershed.feature.ComponentFeature; 038import org.openimaj.image.pixel.IntValuePixel; 039 040 041/** 042 * Detector for Maximally-Stable Extremal Regions. The actual image analysis 043 * is in the class {@link WatershedProcessorAlgorithm} to allow this class to be 044 * re-used efficiently. 045 * 046 * @author David Dupplaw (dpd@ecs.soton.ac.uk) 047 * 048 */ 049public class WatershedProcessor 050{ 051 /** This is where we start "pouring" our water */ 052 private IntValuePixel startPixel = new IntValuePixel(0,0); 053 054 /** A list of objects that want to know what components on the stack merge */ 055 private List<ComponentStackMergeListener> csmListeners = null; 056 057 private Class<? extends ComponentFeature>[] featureClasses; 058 059 /** 060 * Default constructor. 061 * @param featureClasses classes for feature creation 062 */ 063 public WatershedProcessor(Class<? extends ComponentFeature>... featureClasses) 064 { 065 this.csmListeners = new ArrayList<ComponentStackMergeListener>(); 066 this.featureClasses = featureClasses; 067 } 068 069 /** 070 * Process the given image. 071 * @param greyscaleImage The image to process 072 */ 073 public void processImage( FImage greyscaleImage ) { 074 WatershedProcessorAlgorithm d = new WatershedProcessorAlgorithm( greyscaleImage, this.startPixel, featureClasses ); 075 076 for( ComponentStackMergeListener csm : csmListeners ) 077 d.addComponentStackMergeListener( csm ); 078 079 d.startPour(); 080 } 081 082 /** 083 * Add a component stack merge listener 084 * @param csml The {@link ComponentStackMergeListener} to add 085 */ 086 public void addComponentStackMergeListener( ComponentStackMergeListener csml ) 087 { 088 csmListeners.add( csml ); 089 } 090 091}