NDLI: Vertical scratch detection algorithm for high-speed scale-covered steel BIC(Bar in Coil)

Content Provider	IEEE Xplore Digital Library
Author	Jong Pil Yun Changhyun Park Homoon Bae Hwawon Hwang Seho Choi
Copyright Year	2010
Description	Author affiliation: Instrumentation and Control Research Group, POSCO, Pohang, Korea (Jong Pil Yun; Changhyun Park; Homoon Bae; Hwawon Hwang; Seho Choi)
Abstract	Recently, vision-based inspection systems have been widely investigated for the defect inspection in various industrial products. This paper proposes a vision-based method for detection of scratches in the surfaces of scale-covered steel wire rods. Scales are formed on the surface of wire rods owing to the deposition of oxidized substances that are produces during manufacturing. Because of the variety in the types of steel, presence of scales, and manufacturing conditions, the features of wire rod surface images are not uniform. Moreover, the similarities in the gray-level and shape of the defect and defect-free regions make it very difficult to accurately detect defects. In order to solve the abovementioned problems and to detect defects more effectively, we propose a new defect detection algorithm, which is based on edge pair detection, binarization with double threshold, morphological operation, and SVM(Support Vector Machine). Finally, the experimental results conducted on steel wire rod images obtained from actual steel production lines show that the proposed algorithm is effective for defect detection of scale-covered steel wire rods.
Starting Page	342
Ending Page	345
File Size	1036863
Page Count	4
File Format	PDF
ISBN	9781424474530
e-ISBN	9788993215021
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-27
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	IEEE International Conference on Control & Automation
Subject Keyword	Support vector machines image processing defect detection Image edge detection Surface morphology Inspection SVM Steel Detection algorithms Surface treatment surface inspection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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