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Vision-based surface defect inspection for thick steel plates

Title
Vision-based surface defect inspection for thick steel plates
Authors
Yun, Jong PilKim, DongseobKim, KyuHwanLee, Sang JunPark, Chang HyunKim, Sang Woo
POSTECH Authors
Kim, Sang Woo
Date Issued
May-2017
Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Abstract
There are several types of steel products, such as wire rods, cold-rolled coils, hot-rolled coils, thick plates, and electrical sheets. Surface stains on cold-rolled coils are considered defects. However, surface stains on thick plates are not considered defects. A conventional optical structure is composed of a camera and lighting module. A defect inspection system that uses a dual lighting structure to distinguish uneven defects and color changes by surface noise is proposed. In addition, an image processing algorithm that can be used to detect defects is presented in this paper. The algorithm consists of a Gabor filter that detects the switching pattern and employs the binarization method to extract the shape of the defect. The optics module and detection algorithm optimized using a simulator were installed at a real plant, and the experimental results conducted on thick steel plate images obtained from the steel production line show the effectiveness of the proposed method. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Keywords
DYNAMIC ENCODING ALGORITHM; GABOR FILTERS; SYSTEM; SEARCHES
URI
http://oasis.postech.ac.kr/handle/2014.oak/92099
DOI
10.1117/1.OE.56.5.053108
ISSN
0091-3286
Article Type
Article
Citation
OPTICAL ENGINEERING, vol. 56, no. 5, page. 053108-1 - 053108-12, 2017-05
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 KIM, SANG WOO
Dept of Electrical Enginrg
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