Cited by 68Industrial Vision Systems and Defect DetectionNon-Destructive Testing TechniquesInfrastructure Maintenance and Monitoring

Classification of defects in steel strip surface based on multiclass support vector machine

Hu, Huijun, Li, Yuanxiang, Liu, Maofu, Liang, Wenhao·2014·Multimedia Tools and Applications

Integrity signals

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Crossref · 10.1007/s11042-012-1248-0

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22 of 22 references verified0 citation errors · 0 not checkable

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Authors
Hu, H., Li, Y., Liu, M., & Liang, W.
Affiliations
  • Wuhan University (CN)
  • Wuhan University of Science and Technology (CN)
  • Dahua Technology (China) (CN)
Corresponding author
Hu, Huijun
Venue
Multimedia Tools and Applications
Published
2012-10-13
Volume
69
Issue
1
Pages
199-216
ISSN
  • 1380-7501 (ISSN-L)
  • 1573-7721
OpenAlex
W2034810702
Cited by
68
References
22
Citations by year
2026: 4 · 2025: 6 · 2024: 8 · 2023: 5 · 2022: 8 · 2021: 4 · 2020: 9 · 2019: 3 · 2018: 7 · 2017: 5 · 2016: 3 · 2015: 4 · 2014: 1 · 2013: 1
FWCI
4.72
Type
journal article
Language
en
Open access
closed
Locations
Multimedia Tools and Applications (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 › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
Keywords
defect classification, multi-class support vector machine, binarization, geometric features, grayscale features, shape features, Gaussian kernel

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