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Texture Classification

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Computer Vision

Synonyms

Texture recognition

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Definition

Texture classification deals with classification of images or regions based on the computational representations of their underlying texture.

Background

As an important visual cue, texture is a fundamental characteristic of many types of images ranging from multispectral satellite images to microscopic images of tissue samples (see Fig. 1). For instance, texture appears to be a stronger cue to object identity than global shape information. It is easy to recognize and hard to define. Although it lacks a generally agreed definition, texture has the following important characteristics. (1) The unique property of repetition: similar visual patterns (texture primitives or textons) with some degree of variability in their appearances and relative positions appear repeatedly. (2) A regional property with stationarity: unlike color, it is a phenomenon of a region and cannot be defined on a...

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Authors and Affiliations

  1. Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland

    Li Liu & Matti Pietikäinen

Authors
  1. Li Liu
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  2. Matti Pietikäinen
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Corresponding author

Correspondence to Li Liu .

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Liu, L., Pietikäinen, M. (2020). Texture Classification. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_328-1

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  • DOI: https://doi.org/10.1007/978-3-030-03243-2_328-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03243-2

  • Online ISBN: 978-3-030-03243-2

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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