文章基本信息

标题：Image Edge Detection based on ACO-PSO Algorithm
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作者：Chen Tao ; Sun Xiankun ; Han Hua 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2015
卷号：6
期号：7
DOI：10.14569/IJACSA.2015.060708
出版社：Science and Information Society (SAI)
摘要：This survey focuses on the problem of parameters selection in image edge detection by ant colony optimization (ACO) algorithm. By introducing particle swarm optimization (PSO) algorithm to optimize parameters in ACO algorithm, the fitness function based on connectivity of image edge is proposed to evaluate the quality of parameters in ACO algorithm. And the ACO-PSO algorithm is applied to image edge detection. The simulation results show that the parameters have been optimized and the proposed ACO-PSO algorithm presents better edges than traditional methods.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Image edge detection; ant colony optimization; particle swarm optimization; parameter optimization; edge quality evaluation