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Fuzzy Relational Calculus and Its Application to Image Processing

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Fuzzy Logic and Applications (WILF 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5571))

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Abstract

The calculus of relations has been very important during the past 40 years from theoretical as well as from practical point of view. The development of fuzzy set theory, particularly in the framework of relational calculus has substantially increased the interest in this domain of science. In this paper we will give a brief overview of the recent developments in crisp as well as in fuzzy relational calculus and illustrate its applicability in image processing.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics & Computer Science Fuzziness & Uncertainty Modelling, Ghent University, Krijgslaan 281 - S9, B-9000, Gent, Belgium

    Etienne E. Kerre & Mike Nachtegael

Authors
  1. Etienne E. Kerre
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  2. Mike Nachtegael
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Editor information

Editors and Affiliations

  1. Dipartimento di Matematica e Applicazioni, Università di Palermo, via Archirafi, 34, 90123, Palermo, Italy

    Vito Di Gesù

  2. Center for Soft Computing Research, Machine Intelligence Unit, Indian Statistical Institute,, 203 Barrackpore Trunk Road, 700 108, Kolkata, India

    Sankar Kumar Pal

  3. Dipartimento di Scienze Applicate, Università di Napoli "Parthenope", Via Alcide De Gasperi, 5,, 80133, Napoli, Italy

    Alfredo Petrosino

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© 2009 Springer-Verlag Berlin Heidelberg

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Kerre, E.E., Nachtegael, M. (2009). Fuzzy Relational Calculus and Its Application to Image Processing. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science(), vol 5571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02282-1_23

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  • DOI: https://doi.org/10.1007/978-3-642-02282-1_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02281-4

  • Online ISBN: 978-3-642-02282-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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