Vision-based automatic detection of steel surface defects in the cold rolling process: considering the influence of industrial liquids and surface textures
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- Authors
- Zhao, Y. J., Yan, Y. H., & Song, K. C.
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2016-09-29
- Volume
- 90
- Issue
- 5-8
- Pages
- 1665-1678
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W2523922765
- Cited by
- 59
- References
- 22
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 3 · 2023: 7 · 2022: 9 · 2021: 12 · 2020: 8 · 2019: 2 · 2018: 8 · 2017: 4
- FWCI
- 6.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The International Journal of Advanced Manufacturing Technology (publishedVersion)
- Funders
- National Natural Science Foundation of China (51374063)
- Fundamental Research Funds for the Central Universities (N140303008, N141008001)
- 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
- steel surface defect detection, cold rolling, image-based inspection, industrial lubricants, surface texture, crack detection, scratch detection, region extraction, product quality monitoring
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