[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(4):80-85.
CHEN Xiao-bo,CHENG Xian-yi.An adaptive image segmentation technique based on multiAgent system[J].CAAI Transactions on Intelligent Systems,2007,2(4):80-85.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第4期
页码:
80-85
栏目:
学术论文—机器学习
出版日期:
2007-08-25
- Title:
-
An adaptive image segmentation technique based on multiAgent system
- 文章编号:
-
1673-4785(2007)04-0080-06
- 作者:
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陈小波,程显毅
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江苏大学计算机科学与通信工程学院,江苏镇江212013
- Author(s):
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CHEN Xiao-bo, CHENG Xian-yi
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School of Computer Science & Telecommunication Engineering, Ji angsu University,Zhenjiang 212013, China
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- 关键词:
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MAS; 自适应; 图像分割
- Keywords:
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MAS; selfadaptive; image segmentation
- 分类号:
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TP391.4
- 文献标志码:
-
A
- 摘要:
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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:
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The automatic segmentation of complex images is a challenging issue. A novel approach was proposed to segment images adaptively based on multiAgent 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 selfadaptatio n and the image was segmented. Experiments with complex medical images show th at the MAS approach is suitable for use in image segmentation.
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