Finding defects in texture using regularity and local orientation
Integrity signals
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Statistical methods are based on two fundamental structural properties: regularity and local orientation (anisotropy).
“In summary, these methods are based on two kinds of fundamental structural properties, regularity and local orientation (anisotropy), both properties have great perceived value.”
From Automated Visual Defect Detection for Flat Steel Surface: A Survey (2020) · cites this paper as [54]
Cites
A Survey of Automated Visual Inspection
Newman, T. S., & Jain, A. K. (1995) · Computer Vision and Image Understanding · doi:10.1006/cviu.1995.1017 · Cited by 619 · see citing works
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Computer-Vision-Based Fabric Defect Detection: A Survey
Kumar, A. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.1930.896476 · Cited by 725 · see citing works
Automated Visual Defect Detection for Flat Steel Surface: A Survey
Luo, Q., Fang, X., Liu, L., Yang, C., & Sun, Y. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2019.2963555 · Cited by 559 · see citing works
Multistage GAN for Fabric Defect Detection
Liu, J., Wang, C., Su, H., Du, B., & Tao, D. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2959741 · Cited by 247 · see citing works
Automatic texture defect detection using Gaussian mixture entropy modeling
Susan, S., & Sharma, M. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.02.021 · Cited by 85 · see citing works
- Authors
- Chetverikov, D., & Hanbury, A.
- Affiliations
- HUN-REN Institute for Computer Science and Control (HU)
- Centre de Morphologie Mathématique - CMM (FR)
- Corresponding author
- Chetverikov, D.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 35
- Issue
- 10
- Pages
- 2165-2180
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2085525849
- Cited by
- 147
- References
- 1
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 11 · 2023: 13 · 2022: 8 · 2021: 8 · 2020: 4 · 2019: 6 · 2018: 6 · 2017: 7 · 2016: 3 · 2015: 4 · 2014: 5 · 2013: 5 · 2012: 2
- FWCI
- 18.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Keywords
- texture defect detection, structural defects, regularity, local orientation, anisotropy, textile 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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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