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基于蚁群聚类算法的彩色图像量化方法 被引量:3

An approach of color image quantization based on ant colony clustering algorithm
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摘要 提出了一种新的彩色图像颜色量化算法:蚁群聚类算法.该算法通过模拟蚂蚁对物体的捡起和丢弃行为,得到一种捡起和丢弃像素的概率模型,对RGB彩色空间下的彩色图像进行了聚类.实验结果表明蚁群聚类算法实现起来简单快捷,并且取得了很好的颜色量化效果. a new approach based on ant colony clustering algorithm is proposed in the paper.According to simulate the picking up-dropping behaviors of ants,this algorithm gets a basic picking up-dropping probability model which is applied to the color clusters in RGB space.Our experiment shows that the algorithm proposed in this paper has rather good performance with less time consumption,and simple realization.
出处 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2007年第S2期219-223,共5页 Journal of Yunnan University(Natural Sciences Edition)
基金 国家自然科学基金资助项目(60663010) 云南省自然科学基金资助项目(2006F0017M)
关键词 彩色图像颜色量化 颜色聚类 蚁群聚类算法 捡起概率丢弃概率 color image quantization color clustering Ant colony algorithm picking up probability dropping probability
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参考文献7

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同被引文献17

  • 1叶志伟,郑肇葆.蚁群算法中参数α、β、ρ设置的研究——以TSP问题为例[J].武汉大学学报(信息科学版),2004,29(7):597-601. 被引量:154
  • 2胡新荣,李德华,王天珍.基于蚁群优化算法的彩色图像颜色聚类的研究[J].小型微型计算机系统,2004,25(9):1641-1643. 被引量:9
  • 3赵霞,田恩刚.蚁群系统(ACS)及其收敛性证明[J].计算机工程与应用,2007,43(5):67-70. 被引量:3
  • 4Rafael C Gonzalez, Richard E Woods.数字图像处理[M].北京:电子工业出版社,2007,
  • 5Rafael C.Gonzalez,Richard E.Woods,Steven L.Eddins.数字图像处理[M].电子工业出版社,2007:285-320.
  • 6Eric Bonabeau,Marco Dorigo, Guy Theraulaz. Swarm Intelligence From Natural to Artificial Systems[M]. Ox- ford University, 1999.
  • 7H Azzage,C Guinot,G Venturini.How to use ants for hierarchical clustering [C].In: Fourth international workshop on Ant Colony Cptimi-zation and Swarm Intelligence,Brussels,Belgium, LNCS 3172,2004:350-357.
  • 8H Azzag,N Monmarche,M Slimance et al.AntTree:a new model for clustering with artificial ants [C]. In:IEEE Congress on Evolutionary Computation, Canberra, Australia,2003:8-12.
  • 9Eric Bonabeau, Marco Dorigo, Guy Theraulaz. Swarm Intelligence from Natural to Artificial Systems [D]. Oxford University, 1999.
  • 10Azzage H, Guinot C, Venturini G. How to Use Ants for Hierarchical Clustering[C].//. In: Fourth International Workshop on Ant Colony Cptimi-zation and Swarm Intelligence, Brussels, Belgium, LNCS 3172, 2004:350-357.

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