A high-accuracy algorithm for surface defect detection of steel based on DAG-SVM | |
Lu, Jili; Lin, Mingxing; Huang, Yan; Kong, Xiangtao | |
刊名 | Sensors and Transducers
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2013 | |
卷号 | 157期号:10页码:412-418 |
关键词 | Dimension reduction Directed acyclic graph support vector machine (DAG-SVM) Machine vision Principal component analysis (PCA) Surface defect detection |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5147746 |
专题 | 山东大学 |
作者单位 | 1.School of Mechanical Engineering, Shandong University, Jinan, Shandong 250061, China 2.[Lu, Jili |
推荐引用方式 GB/T 7714 | Lu, Jili,Lin, Mingxing,Huang, Yan,et al. A high-accuracy algorithm for surface defect detection of steel based on DAG-SVM[J]. Sensors and Transducers,2013,157(10):412-418. |
APA | Lu, Jili,Lin, Mingxing,Huang, Yan,&Kong, Xiangtao.(2013).A high-accuracy algorithm for surface defect detection of steel based on DAG-SVM.Sensors and Transducers,157(10),412-418. |
MLA | Lu, Jili,et al."A high-accuracy algorithm for surface defect detection of steel based on DAG-SVM".Sensors and Transducers 157.10(2013):412-418. |
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