计算机与现代化Issue(8)：61-65,5.DOI:10.3969/j.issn.1006-2475.2017.08.013
基于混合PSO-CS算法的彩色图像多阈值分割
Multi-threshold Segmentation of Color Image Based on Hybrid PSO-CS Algorithm
摘要
Abstract
Color image segmentation is a difficult problem in digital image processing.In this paper, the use of swarm intelligence algorithm for color image segmentation is studied.For the defect on the cuckoo algorithm caused by optimization of Levy flight jumping, after each end of Levi flight, a modified particle swarm location variation equation is introduced to guide the global optimal solution, and the corresponding adaptive equations are also proposed for the discovery probability and the pace factor.So a hybrid particle swarm cuckoo algorithm(HPCS) is proposed, which is used to carry on multi-threshold segmentation of color image.The experiment shows that the HPCS algorithm is good in the efficiency and quality of color image segmentation.关键词
多阈值分割/粒子群算法/布谷鸟算法/混合粒子群布谷鸟算法/发现概率/步长因子Key words
multi-threshold segmentation/particle swarm optimization/cuckoo algorithm/hybrid particle swarm cuckoo algorithm/detection probability/pace factor分类
信息技术与安全科学引用本文复制引用
卫洪春..基于混合PSO-CS算法的彩色图像多阈值分割[J].计算机与现代化,2017,(8):61-65,5.基金项目
四川省教育厅一般项目(15ZB0326) （15ZB0326）
四川文理学院特色培育项目(2015TP003Y) （2015TP003Y）
