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Fuzzy Techniques in Image Processing pp 3–57Cite as

Classical and Fuzzy Approaches towards Mathematical Morphology

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 52))

Summary

Fuzzy mathematical morphology is an alternative extension of binary morphology to gray-scale morphology, using techniques from fuzzy set theory. In this chapter we first review the basic definitions and properties of binary and classical gray-scale mathematical morphology. Next we present a general logical framework for fuzzy morphology. Finally, we give an extensive overview of other recent fuzzy approaches towards mathematical morphology, and show how they all fit into the general logical framework.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Krijgslaan 281 (Building S9), B-9000, Gent, Belgium

    Mike Nachtegael & Etienne E. Kerre

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

Editors and Affiliations

  1. Department of Applied Mathematics and Computer Science Fuzziness and Uncertainty Modelling Research Unit, Ghent University, Krijgslaan 281 (S9), 9000, Gent, Belgium

    Etienne E. Kerre  & Mike Nachtegael  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Nachtegael, M., Kerre, E.E. (2000). Classical and Fuzzy Approaches towards Mathematical Morphology. In: Kerre, E.E., Nachtegael, M. (eds) Fuzzy Techniques in Image Processing. Studies in Fuzziness and Soft Computing, vol 52. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1847-5_1

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  • DOI: https://doi.org/10.1007/978-3-7908-1847-5_1

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2475-9

  • Online ISBN: 978-3-7908-1847-5

  • eBook Packages: Springer Book Archive

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