互联网 qkzz.net
全刊杂志网:首页 > 女性 > 文章正文
刊社推荐

基于统计分析的PCB组装缺陷特征学习方法邝泳聪 欧阳高飞 谢宏威 洪始良 杨锦荣


摘 要:为了减少自动光学检测系统对用户经验的依赖,提出了一种基于统计分析的PCB组装缺陷特征学习方法。该方法通过对良品和不良品样本图像的统计学习优选出分类能力强的特征,再采用最小风险贝叶斯决策得到特征分类参数。实验结果表明,该算法有效地简化了用户检测程序的编程和调试,提高了AOI的使用效率和准确率。
  关键词:自动光学检测; 统计学习; 贝叶斯决策; 缺陷检测
  中图法分类号:TP391.4
  文献标志码:A
  
  文章编号:1001-3695(2010)02-0775-03
  doi:10.3969/j.issn.1001-3695.2010.02.105
  
  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. ......
很抱歉,暂无全文,若需要阅读全文或喜欢本刊物请联系《计算机应用研究》杂志社购买。
欢迎作者提供全文,请点击编辑
分享:
 

了解更多资讯,请关注“木兰百花园”
分享:
 
精彩图文


关键字
支持中国杂志产业发展,请购买、订阅纸质杂志,欢迎杂志社提供过刊、样刊及电子版。
关于我们 | 网站声明 | 刊社管理 | 网站地图 | 联系方式 | 中图分类法 | RSS 2.0订阅 | IP查询
全刊杂志赏析网 2017