Detection of line defects in steel billets using undecimated wavelet transform
Abstract
In this paper, we present a new detection algorithm for line defects of scale-covered steel billets. Because of the presence of scales on the billet surface, features of surface images such as brightness and textures are non-uniform. To minimize the influence of scales and to improve the accuracy of detection, a new detection method based on undecimated wavelet transform is proposed. The vertical projection profile of subimage with high-frequency information produced by undecimated wavelet transform is used to detect the line defects. Experimental results conducted on billets surface image from actual steel production line show that the proposed algorithm is capable of detecting line defects on billet surface.
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Yun et al. [69] used Haar wavelet with one-level decomposition to detect two types of defects in billets with 83% accuracy.
“Yun et al. [69] used Haar wavelet with onelevel decomposition to detect two types of defects in billets with 83% accuracy”
From Review of vision-based steel surface inspection systems (2014) · cites this paper as [69]
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Review of vision-based steel surface inspection systems
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- Authors
- Yun, J. P., Choi, S., Jeon, Y.-J., Choi, D.-C., & Kim, S. W.
- Affiliations
- Pohang University of Science and Technology (KR)
- Venue
- 2008 International Conference on Control, Automation and Systems
- Publisher
- IEEE
- Published
- 2008-10
- Pages
- 1725-1728
- OpenAlex
- W2158946008
- Cited by
- 21
- References
- 13
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 2 · 2022: 1 · 2020: 2 · 2018: 1 · 2014: 1 · 2013: 1 · 2012: 1
- FWCI
- 7.60
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Control, Automation and Systems (ICCAS) (publishedVersion)
- 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 › Computational Mechanics › Surface Roughness and Optical Measurements
- Keywords
- steel billets, stationary wavelet transform
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