Object Description Based on Learning for PCB Inspection

摘要：

The two prerequisites for the referential-based image comparison method,perfect registration and stable lighting,are hard to achieve under real PCB inspection environment.In this paper.an objection description based on learning for PCB inspection is proposed to compensate for allowable minor variations of object placement and lighting variations,and the threshold image approach is provided to effective avoid false defects.The experimental results show that the developed method is successful in locating defects occurring on PCB.and the result can be used to quality control.

关键词： Machinelearning Objectdescription PCB

作者: Zhijun Pei Jianhua Tao Haiyan Ren

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 1174-1176

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）