Detection of surface defects on raw steel blocks using Bayesian network classifiers
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Wavelet transform has difficulty choosing a wavelet basis.
“Difficulty in choosing wavelet basis.”
From Automated Visual Defect Classification for Flat Steel Surface: A Survey (2020) · cites this paper as [99]
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References 41 · Cited by 113
- Authors
- Pernkopf, F.
- Affiliations
- University of Washington (US)
- Corresponding author
- Pernkopf, Franz
- ORCID
- Pernkopf, Franz
- Venue
- Pattern Analysis and Applications
- Published
- 2004-11-19
- Volume
- 7
- Issue
- 3
- Pages
- 333-342
- ISSN
- 1433-7541 (ISSN-L)
- 1433-755X
- OpenAlex
- W1975551334
- Cited by
- 113
- References
- 41
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 6 · 2023: 5 · 2022: 12 · 2021: 9 · 2020: 12 · 2019: 5 · 2018: 5 · 2017: 5 · 2016: 5 · 2015: 2 · 2014: 4 · 2013: 6 · 2012: 4
- FWCI
- 2.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Pattern Analysis 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 › Computational Mechanics › Surface Roughness and Optical Measurements
- Keywords
- surface defect detection, Bayesian network classifiers, light sectioning, depth map recovery, Bayesian network structure learning, tree augmented naive Bayes, naive Bayes, steel quality inspection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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