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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)
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
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版者Springer Verlag
出版地Berlin
2014
页码390-402
收录类别EI ; CPCI(ISTP)
EI收录号20143117998789
WOS记录号WOS:000345518100046
产权排序1
ISSN号0302-9743
ISBN号978-3-319-09329-1
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.
语种英语
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被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15041
专题信息服务与智能控制技术研究室
作者单位1.Shenyang Institute of Automation Chinese Academy of Sciences, 110016 Shenyang, China
2.Shenyang University, 110044 Shenyang, China
3.University of Chinese Academy of Sciences, 100049 Beijing, China
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]//IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China. Berlin:Springer Verlag,2014:390-402.
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