%0 Journal Article
%T Color Image Quantization Using Particle Swarm Optimization<br>一种基于粒子群算法的色彩量化方案
%A SA Qiu-fu
%A LIU Xiang-dong
%A HE Xi-qin
%A YAN De-jun
%A SA Qiu-fu
%A LIU Xiang-dong
%A HE Xi-qin
%A YAN De-jun
%A SA Qiu-fu
%A LIU Xiang-dong
%A HE Xi-qin
%A YAN De-jun
%A SA Qiu-fu
%A LIU Xiang-dong
%A HE Xi-qin
%A YAN De-jun
%A <br>沙秋夫
%A 刘向东
%A 何希勤
%A 焉德军
%J 中国图象图形学报
%D 2007
%I 
%X It is proved by experiments that the particle swarm optimization is superior to the genetic algorithm in solving the problems of real optimization.In order to enhance the efficiency of the color image quantification algorithm,in this paper,the corresponding fitness function is designed,and a kind of particle swarm optimization color image quantization method is provided on the basis of the genetic algorithm color image quantization method.The comparison of the performance of two kind of quantification method has been carried on through the examples.The experimental result shows that the particle swarm optimization color image quantization method is obviously superior to the genetic algorithm color image quantization method since it has higher convergence rate.
%K particle swarm optimization
%K color quantization
%K K-means algorithm<br>粒子群优化算法
%K 色彩量化
%K K-均值算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=FD49009962F16771&yid=A732AF04DDA03BB3&vid=59906B3B2830C2C5&iid=9CF7A0430CBB2DFD&sid=E2EDBBF9B5CDD657&eid=C28CDC724DDFD536&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10