A novel method for image segmentation based on nature inspired algorithm
Liu Y(刘洋); Hu KY(胡琨元); Zhu YL(朱云龙); Chen HN(陈瀚宁)
2014
会议名称10th International Conference on Intelligent Computing, ICIC 2014
会议日期August 3-6, 2014
会议地点Taiyuan, China
关键词Algorithms Bioinformatics Digital libraries Face recognition Intelligent computing Medical imaging Particle swarm optimization (PSO)
页码390-402
中文摘要Image segmentation is of great importance in the fields of computer vision, face recognition, medical imaging, digital libraries, and video retrieval. This paper presents a novel method for image segmentation based on a Hybrid particle swarm algorithm, which combines the advantages of swarm intelligence and the natural selection mechanism of artificial bee colony algorithm. Experimental results show that the proposed method can reach a higher quality adequate segmentation, reduce the CPU processing time and eliminate the particles falling into local minima. © 2014 Springer International Publishing Switzerland.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者Springer Verlag
会议录出版地Berlin
语种英语
ISSN号0302-9743
ISBN号978-3-319-09329-1
WOS记录号WOS:000345518100046
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/15041]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式
GB/T 7714
Liu Y,Hu KY,Zhu YL,et al. A novel method for image segmentation based on nature inspired algorithm[C]. 见:10th International Conference on Intelligent Computing, ICIC 2014. Taiyuan, China. August 3-6, 2014.
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