Edge Detection Improvement by Ant Colony Optimization

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Title:	Edge Detection Improvement by Ant Colony Optimization
Authors:	陳建彰;盧德賢
Contributors:	淡江大學資訊工程學系
Keywords:	Edge detection;Ant colony optimization (ACO);Pheromone trail
Date:	2008-04-01
Issue Date:	2011-10-05 22:25:01 (UTC+8)
Abstract:	Edge detection is a technique for marking sharp intensity changes, and is important in further analyzing image content. However, traditional edge detection approaches always result in broken pieces, possibly the loss of some important edges. This study presents an ant colony optimization based mechanism to compensate broken edges. The proposed procedure adopts four moving policies to reduce the computation load. Remainders of pheromone as compensable edges are then acquired after finite iterations. Experimental results indicate that the proposed edge detection improvement approach is efficient on compensating broken edges and more efficient than the traditional ACO approach in computation reduction.
Relation:	Pattern Recognition Letters 29(4), pp.416-425
DOI:	10.1016/j.patrec.2007.10.021
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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