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题名: A novel method for image segmentation based on nature inspired algorithm
作者: Liu Y(刘洋) ; Hu KY(胡琨元) ; Zhu YL(朱云龙) ; Chen HN(陈瀚宁)
作者部门: 信息服务与智能控制技术研究室
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
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
出版日期: 2014
页码: 390-402
收录类别: CPCI(ISTP) ; EI
ISSN号: 0302-9743
ISBN号: 9783319093291
关键词: Algorithms ; Bioinformatics ; Digital libraries ; Face recognition ; Intelligent computing ; Medical imaging ; Particle swarm optimization (PSO)
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15041
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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