Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (12): 35-40.doi: 10.3969/j.issn.1000-565X.2010.12.007

• Mechanical Engineering • Previous Articles     Next Articles

Inspection Algorithm of Solder Joints Based on Weighted Bidirectional 2D Linear Discrimination Features

Kuang Yong-cong  Xie Hong-wei  Ouyang Gao-fei  Zhang Xian-min   

  1. School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2010-02-25 Revised:2010-05-13 Online:2010-12-25 Published:2010-12-25
  • Contact: 邝泳聪(1970-),男,副教授,主要从事机器视觉研究. E-mail:kuangyongcong@21cn.com
  • About author:邝泳聪(1970-),男,副教授,主要从事机器视觉研究.
  • Supported by:

    国家杰出青年科学基金资助项目(50825504); 广东省科技攻关重点项目(2008A010300002); 粤港关键领域重点突破招标项目(东莞专项20081628)

Abstract:

In order to overcome the disadvantages of the existing automatic optical inspection(AOI) algorithm for solder joints,a new inspection algorithm based on weighted bidirectional 2D linear discrimination analysis is proposed,which takes into account the characteristics of AOI and improves the conventional bidirectional 2D linear discrimination analysis by weighting different classes and samples during the calculation of covariance matrix.By this algorithm,more discriminative features can be extracted.The improved algorithm is then applied to the solder joint inspection to automatically classify the solders from different batches.Experimental results show that,as compared with the commonly-used algorithm based on image comparison or image analysis,the proposed algorithm significantly reduces the misdiagnosis rate with the detection speed meeting the practical demands well.

Key words: automatic optical inspection, bidirectional 2D linear discrimination analysis, feature extraction, solder joint inspection