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Measuring Sigmoidality

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Book cover Computer Analysis of Images and Patterns (CAIP 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2756))

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Abstract

Several new shape measures are proposed for measuring the sigmoidality of a region (or more precisely, the region’s axis). The correctness of the measures are verified on synthetic data, and then tested quantitatively on a diatom classification task.

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Author information

Authors and Affiliations

  1. Computer Science, Cardiff University, Queen’s Buildings, Newport Road, PO Box 916, Cardiff, CF24 3XF, Wales, UK

    Paul L. Rosin

Authors
  1. Paul L. Rosin
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computing Science, University of Groningen, P.O.Box 800, 9700 AV, Groningen, The Netherlands

    Nicolai Petkov

  2. Institute of Mathematics and Computing Science, University of Groningen, Blauwborgje 3, 9747 AC, Groningen, The Netherlands

    Michel A. Westenberg

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© 2003 Springer-Verlag Berlin Heidelberg

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Rosin, P.L. (2003). Measuring Sigmoidality. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_51

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  • DOI: https://doi.org/10.1007/978-3-540-45179-2_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40730-0

  • Online ISBN: 978-3-540-45179-2

  • eBook Packages: Springer Book Archive

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