A Convex Hull Image Recognition and Its Industrial Application Discriminate the Abnormally Electroplated and Bended Contact Pins

摘要：

Based on the impact of the quality of the integrated circuits (ICs) contact pins, an enhanced real-time automatic detection methodology with low cost video equipment is necessary in order to reduce errors and omissions caused by the loss of the manual detection. We propose an efficient convex hull image processing methodology to discriminate the abnormal bended pins with a color camera. Such an effective development of dynamic color-scale image detection processing and its application enables our online detection system possible in the electroplating factory. An impressed performance with more than 12 meters per minute (mpm) under the semi-finished product line has been shown. This procedure as well acts as part of the solution in our further integrated systems.

关键词： Convex hull edge detection IC contact pin image processing least squares method

作者: Po-Hsun Cheng Chia-Hsu Kuo Wen-Li Lee Hon-Wen Chia Ming-Hung Hsieh Tzu-Ming Sun

作者单位: Department of Software Engineering National Kaohsiung Normal University Kaohsiung, Taiwan Dept. of Healthcare Information and Management Ming Chuan University Taoyuan, Taiwan Department of Research and Development Auction System Technology, Inc.Tainan, Taiwan

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 297-300

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）