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Texture Analysis in Industrial Applications

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Image Technology

Abstract

Problems of texture analysis in industry are considered. First, a literature survey of proposed industrial applications is presented and, then, some popular texture measures which have been successfully used in various applications and new promising approaches proposed recently are described. Finally, a comparative study of the texture measures is carried out by using a classification principle based on comparing sample distribution of feature values to predefined model distributions with known true class labels.

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Authors
  1. M. Pietikäinen
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  2. T. Ojala
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Editor information

Editors and Affiliations

  1. Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA

    Jorge L. C. Sanz

  2. IBM Argentina, Ingeniero Enrique Butty 275, 1300, Buenos Aires, Argentina

    Jorge L. C. Sanz

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© 1996 Springer-Verlag Berlin Heidelberg

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Pietikäinen, M., Ojala, T. (1996). Texture Analysis in Industrial Applications. In: Sanz, J.L.C. (eds) Image Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58288-2_13

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  • DOI: https://doi.org/10.1007/978-3-642-58288-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63528-1

  • Online ISBN: 978-3-642-58288-2

  • eBook Packages: Springer Book Archive

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