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基于加权双向二维线性判别特征的焊点检测算法
引用本文:邝泳聪,谢宏威,欧阳高飞,张宪民.基于加权双向二维线性判别特征的焊点检测算法[J].华南理工大学学报(自然科学版),2010,38(12).
作者姓名:邝泳聪  谢宏威  欧阳高飞  张宪民
作者单位:华南理工大学机械与汽车工程学院;
基金项目:国家杰出青年科学基金资助项目,广东省科技攻关重点项目,粤港关键领域重点突破招标项目
摘    要:为克服现有自动光学检测(AOI)算法的缺陷,针对AOI的特点,对传统的双向二维线性判别方法进行改进,提出一种基于加权双向二维线性判别方法的焊点检测算法.在计算协方差矩阵时,对不同的类别以及类内不同的样本进行加权,从而提取更有判别力的特征.将改进后的算法应用于焊点检测,可实现对不同批次用料的自动分类.文中提出的算法检测速度可以满足实际需要,且与现有AOI系统中常用的图像对比算法和图像分析法相比,可以显著降低误报率.

关 键 词:自动光学检测  双向二维线性判别分析  特征提取  焊点检测

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.Inspection Algorithm of Solder Joints Based on Weighted Bidirectional 2D Linear Discrimination Features[J].Journal of South China University of Technology(Natural Science Edition),2010,38(12).
Authors:Kuang Yong-cong  Xie Hong-wei  Ouyang Gao-fei  Zhang Xian-min
Institution:Kuang Yong-cong Xie Hong-wei Ouyang Gao-fei Zhang Xian-min(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China)
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 impro...
Keywords:automatic optical inspection  bidirectional 2D linear discrimination analysis  feature extraction  solder joint inspection  
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