关键词:自动光学检测; 统计学习; 贝叶斯决策; 缺陷检测
Features learning method for PCB assembling defects inspection based on statistical analysis
KUANG Yong-cong, OUYANG Gao-fei, XIE Hong-wei, HONG Shi-liang, YANG Jin-rong
(School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640, China)
Abstract:In order to reduce the experience-dependence of automatic optical inspection (AOI),proposed a Bayesian-based features learning for PCB assembling defects inspection. By statistical learning images of good product sample and defective product sample,selected features with better ability of classification capacity, and based on the risk minimization of Bayesian,worked out the decision parameters for feature classing. Experimental results show that the proposed method effectively simplifies the programming and debugging of user inspection application, and greatly improves the efficiency and accuracy of AOI. ......