基于混沌人工蜂群算法的色彩量化方法  

Color Quantization Based on Chaotic Artificial Bee Colony Algorithm

作　　者：林剑[1] 赵龙[1] 徐剑[1] 许力[2] 

机构地区：[1]杭州电子科技大学新闻出版学院,浙江杭州310018 [2]浙江大学电气工程学院,浙江杭州310027

出　　处：《杭州电子科技大学学报（自然科学版）》2011年第3期70-73,共4页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：浙江省教育厅科研计划资助项目(GK100801011)

摘　　要：针对人工蜂群算法易陷入局部最优值、进化后期收敛速度慢等问题,为提高蜂群的多样性和搜索的遍历性,该文在人工蜂群算法中引入混沌思想,提出了一种混沌人工蜂群算法,并将其应用到色彩图像量化当中。仿真结果表明混沌人工蜂群算法改善了人工蜂群算法摆脱局部最优值的能力,提高了算法的收敛速度和精度,同时量化后的图像也具有更高的信息熵,保持了更为丰富的信息。To solve the problems that artificial bee colony algorithm is easily trapped into local optimum,slow evolution and convergence in later stage,a chaotic artificial bee colony algorithm was proposed based on chaotic idea to enhance the diversity of bees and the ergodicity of searching.The simulation results showed that the chaos artificial bee colony algorithm has improved the bee colony algorithm that prevent it from local optimum,improving the speed and accuracy of the convergence,at the same time,the quantized image maintains higher entropy and richer information.

关 键 词：混沌 蜂群算法 色彩量化 图像处理 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]