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International Conference on Computer Analysis of Images and Patterns

CAIP 1997: Computer Analysis of Images and Patterns pp 154–161Cite as

Non-Archimedean normalized fields in texture analysis tasks

  • Texture Analysis
  • Conference paper
  • First Online:

  • 139 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1296))

Abstract

A method of forming features of texture images is proposed. It is based on a new interpretation of digital image as a function defined on integer elements of algebraic numbers quadratic fields. The features are formed on the base of analysis of the image spectral characteristics associated with its metric properties in non-Archimedean metrics.

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Author information

Authors and Affiliations

  1. Image Processing Systems Institute of RAS, 151 Molodogvardejskaja st., IPSI RAS, Samara, Russia

    Vladimir M. Chernov & Andrew V. Shabashev

Authors
  1. Vladimir M. Chernov
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  2. Andrew V. Shabashev
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Editor information

Gerald Sommer Kostas Daniilidis Josef Pauli

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© 1997 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chernov, V.M., Shabashev, A.V. (1997). Non-Archimedean normalized fields in texture analysis tasks. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_112

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  • DOI: https://doi.org/10.1007/3-540-63460-6_112

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63460-7

  • Online ISBN: 978-3-540-69556-1

  • eBook Packages: Springer Book Archive

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