Cited by 45Industrial Vision Systems and Defect DetectionImage Retrieval and Classification TechniquesSurface Roughness and Optical Measurements

Texture classification by statistical learning from morphological image processing: application to metallic surfaces

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CORD, A., BACH, F., JEULIN, D.·2010·Journal of Microscopy

Abstract

Summary: A classification method based on textural information for metallic surfaces displaying complex random patterns is proposed. Because these kinds of textures show fluctuations at a small scale and some uniformity at a larger scale, a probabilistic approach is followed, considering textural variations as realizations of random functions. Taking into account information of pixel neighbourhoods, the texture for each pixel is described at different scales. By means of statistical learning, the most relevant textural descriptors are selected for each application. The performance of this approach is established on a real data set of steel surfaces.

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Crossref · 10.1111/j.1365-2818.2010.03365.x

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  • In a large number of instances, it has been possible to localise RoIs with a high degree of accuracy.

    “In a large number of instances [3,35,41,42,56,58,61], it has been possible to localise RoIs with a high degree of accuracy.”

    From Review of vision-based steel surface inspection systems (2014) · cites this paper as [42]

  • The most popular algorithms applied to flat steel surface defect classification are PCA and LPP.

    “Of these methods, the most popular algorithms applied to flat steel surface defect classification are PCA and LPP [112, 113].”

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Authors
CORD, A., BACH, F., & JEULIN, D.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Centre de Morphologie Mathématique - CMM (FR)
Corresponding author
JEULIN, D.
Venue
Journal of Microscopy
Publisher
Wiley
Published
2010-07-14
Volume
239
Issue
2
Pages
159-166
ISSN
  • 0022-2720 (ISSN-L)
  • 1365-2818
OpenAlex
W2169628755
Cited by
45
References
30
Citations by year
2025: 2 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 6 · 2019: 4 · 2018: 2 · 2017: 3 · 2016: 4 · 2015: 3 · 2014: 4 · 2013: 2 · 2012: 2
FWCI
7.60
Type
journal article
Language
en
Open access
Locations
  • Journal of Microscopy (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
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 › Computational Mechanics › Surface Roughness and Optical Measurements
Keywords
texture classification, metal surfaces, steel surfaces, statistical learning, mathematical morphology, random functions

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