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Fuzzy Bipolar Mathematical Morphology: A General Algebraic Setting

  • Conference paper
Mathematical Morphology and Its Applications to Image and Signal Processing (ISMM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6671))

Abstract

Bipolar information is an important component in information processing, to handle both positive information (e.g. preferences) and negative information (e.g. constraints) in an asymmetric way. In this paper, a general algebraic framework is proposed to handle such information using mathematical morphology operators, leading to results that apply to any partial ordering.

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Author information

Authors and Affiliations

  1. CNRS LTCI, Télécom ParisTech, Paris, France

    Isabelle Bloch

Authors
  1. Isabelle Bloch
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Editor information

Editors and Affiliations

  1. Institute for the Protection and Security of the Citizen, European Commission, Joint Research Centre, via Enrico Fermi, 2749, 21027, Ispra (VA), Italy

    Pierre Soille , Martino Pesaresi  & Georgios K. Ouzounis ,  & 

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Bloch, I. (2011). Fuzzy Bipolar Mathematical Morphology: A General Algebraic Setting. In: Soille, P., Pesaresi, M., Ouzounis, G.K. (eds) Mathematical Morphology and Its Applications to Image and Signal Processing. ISMM 2011. Lecture Notes in Computer Science, vol 6671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21569-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-21569-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21568-1

  • Online ISBN: 978-3-642-21569-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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