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A Unified Algebraic Framework for Fuzzy Image Compression and Mathematical Morphology

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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

In this paper we show how certain techniques of image processing, having different scopes, can be joined together under a common “algebraic roof”.

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Matematica e Informatica, University of Salerno, Italy

    Ciro Russo

Authors
  1. Ciro Russo
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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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Russo, C. (2009). A Unified Algebraic Framework for Fuzzy Image Compression and Mathematical Morphology. 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_26

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  • DOI: https://doi.org/10.1007/978-3-642-02282-1_26

  • 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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