Cited by 147Industrial Vision Systems and Defect DetectionImage Retrieval and Classification TechniquesNon-Destructive Testing Techniques

Finding defects in texture using regularity and local orientation

Chetverikov, D., Hanbury, A.·2002·Pattern Recognition

Integrity signals

Registry

Crossref · 10.1016/s0031-3203(01)00188-1

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1 of 1 references verified0 citation errors · 0 not checkable

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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.”

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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

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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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