Algorithm for detecting seam cracks in steel plates using a Gabor filter combination method

被引：37

作者：

Choi, Doo-Chul ^{[1
]}

Jeon, Yong-Ju ^{[1
]}

Lee, Sang Jun ^{[1
]}

Yun, Jong Pil ^{[2
]}

Kim, Sang Woo ^{[1
,3
,4
]}

机构：

[1] Pohang Univ Sci & Technol, Div Elect Engn, Pohang, South Korea

[2] Pohang Iron & Steel Co, Engn Res Ctr, Syst Res Grp, Pohang, South Korea

[3] Pohang Univ Sci & Technol, Dept Creat IT Excellence Engn, Pohang, South Korea

[4] Pohang Univ Sci & Technol, Future IT Innovat Lab, Pohang, South Korea

来源：

APPLIED OPTICS | 2014年 / 53卷 / 22期

关键词：

DYNAMIC ENCODING ALGORITHM; DEFECT DETECTION; AUTOMATIC DETECTION; REAL;

D O I：

10.1364/AO.53.004865

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Presently, product inspection based on vision systems is an important part of the steel-manufacturing industry. In this work, we focus on the detection of seam cracks in the edge region of steel plates. Seam cracks are generated in the vertical direction, and their width range is 0.2-0.6 mm. Moreover, the gray values of seam cracks are only 20-30 gray levels lower than those of the neighboring surface. Owing to these characteristics, we propose a new algorithm for detecting seam cracks using a Gabor filter combination method. To enhance the performance, we extracted features of seam cracks and employed a support vector machine classifier. The experimental results show that the proposed algorithm is suitable for detecting seam cracks. (C) 2014 Optical Society of America

引用

页码：4865 / 4872

页数：8

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