液晶与显示2017，Vol.32Issue(11)：895-904,10.DOI:10.3788/YJYXS20173211.0895
基于菌群算法的飞机铆钉表面缺陷检测系统光源优化控制
Bacterial foraging optimization control of light source for surface defect detection system based on colony algorithm
摘要
Abstract
As the lighting effects of aircraft rivets defect detection system play a key role on the defect detection quality,this paper optimized its lighting system .Based on the distribution function of fitting LED point light source illumination ,taking the uniformity of background image grayscale of the meas-ured part as optimization goal ,the bacterial population algorithm is used to optimize the light source system parameters .According to the optimization results , the structure optimization of the light source system is carried out .The power control of each LED point light source is carried out ,and the optimization effect is further improved through the optical component .The experimental results show that the optimal light uniformity is more than 95% ,to meet the lighting requirements of rivet detec-tion .This method realizes the effect of illumination system on the top surface of rivet ,and the image quality is improved obviously .关键词
飞机铆钉表面缺陷/菌群算法/光源结构优化/光源优化控制/灰度均匀度Key words
aircraft rivet surface defects/bacterial foraging optimization/source optimization/intensity homogeneity分类
通用工业技术引用本文复制引用
周强,王峥,李敏..基于菌群算法的飞机铆钉表面缺陷检测系统光源优化控制[J].液晶与显示,2017,32(11):895-904,10.基金项目
陕西省教育厅专项科技项目(No.16JK1105) （No.16JK1105）
陕西省科技攻关项目(No.2016GY-005) Supported by Special Science and Technology Project of Shaanxi Provincial Department of Education (No.16JK1105) （No.2016GY-005）
Shaanxi Science and Technology project(No.2016GY-005) （No.2016GY-005）
