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Generalized Idempotence in Fuzzy Mathematical Morphology

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Fuzzy Techniques in Image Processing

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

Summary

In binary mathematical morphology, the idempotence of the binary closing and binary opening has led to the study of objects that are closed or open w.r.t. a given structuring element. For these objects, an interesting generalized idempotence law holds. In recent years, fuzzy mathematical morphology has been proposed as an alternative theory to gray-scale morphology. In this paper, we consider the most general approach, the so-called logical approach, based on fuzzy logical operators. In particular, the role of t-norms and their residual operators is stressed. It is shown that the generalized idempotence laws still hold in fuzzy mathematical morphology when choosing a continuous t-norm and its residual implicator as underlying conjunctor and implicator, and in particular when choosing a nilpotent t-norm and its residual implicator. In the latter case, the fuzzy closing and fuzzy opening are dual operations, and hence results concerning the fuzzy closing are obtained by duality from the fuzzy opening. The unique role of nilpotent t-norms, and hence of the Lukasiewicz t-norm, is demonstrated.

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© 2000 Springer-Verlag Berlin Heidelberg

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De Baets, B. (2000). Generalized Idempotence in Fuzzy 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_2

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  • DOI: https://doi.org/10.1007/978-3-7908-1847-5_2

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2475-9

  • Online ISBN: 978-3-7908-1847-5

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