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Directional Local Binary Pattern for Texture Analysis

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Image Analysis and Recognition (ICIAR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9730))

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Abstract

In this paper, a new features method, the Directional Local Binary Pattern (DLBP), is presented, with an objective to improve Local Directional Pattern (LDP) for texture analysis. The idea of Directional DLBP is inspired by the stability of the Kirsch mask directional responses and the LBP neighboring concept. The result shows that Directional Local Binary Pattern outperforms LDP and LBP.

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Author information

Authors and Affiliations

  1. School of Engineering, Howard College Campus, University of KwaZulu-Natal, Durban, 4041, South Africa

    Abuobayda M. Shabat & Jules-Raymond Tapamo

Authors
  1. Abuobayda M. Shabat
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  2. Jules-Raymond Tapamo
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Corresponding author

Correspondence to Jules-Raymond Tapamo .

Editor information

Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Aurélio Campilho

  2. Department of Electrical, University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

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© 2016 Springer International Publishing Switzerland

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Shabat, A.M., Tapamo, JR. (2016). Directional Local Binary Pattern for Texture Analysis. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-41501-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41500-0

  • Online ISBN: 978-3-319-41501-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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