[1]陈小波,程显毅.一种基于MAS的自适应图像分割方法[J].智能系统学报,2007,2(04):80-85.
 CHEN Xiao-bo,CHENG Xian-yi.An adaptive image segmentation technique based on multiAgent system[J].CAAI Transactions on Intelligent Systems,2007,2(04):80-85.
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一种基于MAS的自适应图像分割方法(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第2卷
期数:
2007年04期
页码:
80-85
栏目:
出版日期:
2007-08-25

文章信息/Info

Title:
An adaptive image segmentation technique based on multiAgent system
文章编号:
1673-4785(2007)04-0080-06
作者:
陈小波程显毅
江苏大学计算机科学与通信工程学院,江苏镇江212013
Author(s):
CHEN Xiao-bo CHENG Xian-yi
School of Computer Science & Telecommunication Engineering, Ji angsu University,Zhenjiang 212013, China
关键词:
MAS自适应图像分割
Keywords:
MASselfadaptiveimage segmentation
分类号:
TP391.4
文献标志码:
A
摘要:
复杂图像的全自动分割是极具挑战性的问题.提出了一种基于MAS的自适应图像分割方法.通过属性和行为描述Agent个体,通过合作竞争描述了Age nt间的交互.MAS系统在Agent反复自适应过程中达到平衡,同时完成图像分割.通过分割复杂的医学图像证实了该方法的有效性,MAS在图像分割领域具有应用价值.
Abstract:
The automatic segmentation of complex images is a challenging issue. A novel approach was proposed to segment images adaptively based on multiAgent system. Individual agents were described with their attributes and behaviors. Th e interaction between Agents was described by cooperation and competition. Finall y, the MAS reached a balanced state after a process of recursive selfadaptatio n and the image was segmented. Experiments with complex medical images show th at the MAS approach is suitable for use in image segmentation.

参考文献/References:

[1]WOOLDRIDGE M,JENNINGS N R. Intelligent Agents:theory a nd practice [J]. The Knowledge Engineering Review,1995,10(2):115-152.
[2]WOOLDRIDGE.多Agent系统导引[M]. 石纯一,译.北京:电子工业出版社,2003.
[3]LIU J,TANG Y Y. Adaptive image segmentation with distributed behaviorba sed Agents[J].IEEE Transactions on PAMI,1999, 21(6):544-551.
[4]刘俊义, 王润生. 利用分布式主动智能体检测灰度图像的对称轴[J]. 软件学报,2002,13 (7): 1238-1241.
 LIU Junyi,WANG Runsheng. Using distributed active Agents to detect the symme try axes in gray images [J]. Journal of Software, 2002, 13 (7): 1238 -1241.
[5]GUESSOUM Z, BRIOT J P, CHARPENTIER S,MARIN O, SENS P. A f aulttolerant multiAgent framework[A]. AAMAS[C].[s.l.],2002.
[6]程显毅. Agent计算【M].哈尔滨:黑龙江科学技术出版社, 2003.
[7]钟伟才, 刘 静, 刘 芳, 焦李成. 组合优化多智能体进化算法[J]. 计算机学报, 2004,27(10):1341-1353.
 ZHONG Weicai, LIU Jing, LIU fang, JIAO Licheng. Combinatorial optimization using multiAgent evolutionary algorithm[J].Chinese Journal of Computers, 2004,27( 10):1341-1353.
[8]LIU Jiming.多智能体原理与技术[M]. 靳小龙,张世武,LIU Jiming,译. 北京: 清华大学出版社, 2003.
[9]HOLLAND J H.涌现—从混沌到有序[M]. 陈禹,译.上海:上海科技教育出版社,2001.

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备注/Memo

备注/Memo:
收稿日期:2006-06-05
作者简介:
陈小波,男,1982年生,助教,主要研究方向为模式识别、多Agent系统. E-mail:xbchen82@yahoo.com.cn.
程显毅,男,1956年生,教授,博士生导师,主要研究方向为模式识别、多Agent系统.发表论文70多篇,参与或主持课题多项,主要学术专著《Agent计算》
更新日期/Last Update: 2009-05-07