Edge Detection Improvement by Ant Colony Optimization

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/59897

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题名:	Edge Detection Improvement by Ant Colony Optimization
作者:	陳建彰;盧德賢
贡献者:	淡江大學資訊工程學系
关键词:	Edge detection;Ant colony optimization (ACO);Pheromone trail
日期:	2008-04-01
上传时间:	2011-10-05 22:25:01 (UTC+8)
摘要:	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.
關聯:	Pattern Recognition Letters 29(4), pp.416-425
DOI:	10.1016/j.patrec.2007.10.021
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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