基于细菌觅食优化算法的图像聚类方法研究  

Research on image cluster based on bacterial foraging optimization algorithm

作　　者：冯帆[1] 王博凯[1] 杨淑莹[1] 

机构地区：[1]天津理工大学智能计算及软件新技术重点实验室,天津300384

出　　处：《天津师范大学学报（自然科学版）》2012年第2期56-58,共3页Journal of Tianjin Normal University：Natural Science Edition

基　　金：国家自然基金资助项目(61001174);天津市高校发展基金资助项目(20071308)

摘　　要：利用细菌觅食优化算法研究图像聚类问题,采用群体智能模式实现问题解的搜索.首先提取图像特征以确定解的编码形式,初始化种群,在此基础上利用细菌觅食优化算法的细菌迁徙算子、繁殖算子和趋化算子实现群体内个体之间的相互合作和竞争,提高了算法的搜索能力,实验证明该算法具有较强的适应性和鲁棒性.Bacterial foraging optimization algorithm is used for researching image clustering problem.Swarm intelligent model is used for achieving the search for the solution.Firstly,image characteristic is extracted to determine the coding solution form and the population is initialized.Then migrating operator,breeding operator and chemotaxis operator of the bacterial foraging optimization algorithm are employed to realize mutual cooperation and competition among individuals within the group,and the search capability of the algorithm is improved.Finally,the results of experiment show that the proposed algorithm is of strong adaptability and robustness.

关 键 词：细菌觅食优化算法 群体智能 优化算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]