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Cited by 17Industrial Vision Systems and Defect DetectionNon-Destructive Testing TechniquesInfrastructure Maintenance and Monitoring

Detection of Periodic Defects Using Dual-Light Switching Lighting Method on the Surface of Thick Plates

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Jeon, Yong-Ju, Choi, Doo-chul, Yun, Jong Pil, Kim, Sang Woo·2015·ISIJ International
DOI 10.2355/isijinternational.isijint-2015-053
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Abstract

Currently, automated inspection algorithms are widely used to ensure high-quality products and achieve high productivity in the steel making industry. In this paper, we propose a vision-based method to detect periodic defects in the surface of thick plates. To minimize the influence of a non-uniform surface property and improve the accuracy of the detection rate, a detection method based on dual-light switching lighting (DLSL) proposed. In general, single lighting (SL) methods cannot well represent the steel surface because the surface features are not uniform and strongly vary according to lighting conditions. In the DLSL method, defective regions are represented by a black and white pattern, regardless of shape, size, or orientation. Therefore, defects can be found by the black and white patterns in the corresponding images. Gabor filtering was used to find defective regions and reduce the false positive rates. To find the periodic candidates of defects, we process the period searching using manufacturing information. To identify periodic defects from among the defect candidates, we use “similarity of shapes” features with a support vector machine (SVM) classifier. The experimental results show that the proposed algorithm is effective at detecting periodic defects on the surface of thick plates.

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Authors
Jeon, Y.-J., Choi, D.-C., Yun, J. P., & Kim, S. W.
Affiliations
  • Pohang University of Science and Technology (KR)
  • Pohang Iron and Steel (South Korea) (KR)
ORCID
Venue
ISIJ International
Publisher
Iron and Steel Institute of Japan
Published
2015
Volume
55
Issue
9
Pages
1942-1949
ISSN
  • 0915-1559 (ISSN-L)
  • 1347-5460
DOI
10.2355/isijinternational.isijint-2015-053
OpenAlex
W2177199610
Cited by
17
References
22
Citations by year
2025: 4 · 2024: 3 · 2023: 2 · 2022: 2 · 2020: 3 · 2018: 2 · 2016: 1
FWCI
1.75
Type
journal article
Language
en
Open access
Locations
  • ISIJ International (publishedVersion)
  • Open Access System for Information Sharing (Pohang University of Science and Technology) (submittedVersion)
Funders
  • Ministry of Science, ICT and Future Planning (NIPA-2014-H0201-14-1001)
  • National IT Industry Promotion Agency (NIPA-2014-H0201-14-1001)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
  • Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
Keywords
thick steel plate, image-based inspection, Gabor filters, support vector machine classification

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