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Fuzzy Connectivity and Its Application to Image Segmentation

  • Conference paper
Neural Nets (WIRN 2005, NAIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3931))

Abstract

Connectivity is a concept of great relevance to image processing and analysis. It is extensively used in image filtering and segmentation, image compression and coding, motion analysis, pattern recognition, and other applications. In this paper, we review the notion of Fuzzy Connectivity and its application to Image Segmentation.

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Author information

Authors and Affiliations

  1. Department of Applied Science, University of Naples “Parthenope”, Naples, Italy

    Gabriele Martino & Alfredo Petrosino

Authors
  1. Gabriele Martino
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  2. Alfredo Petrosino
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Editor information

Editors and Affiliations

  1. Dipartimentimento di Scienze dell’Informazione, via Comelico 39/41, 20135, Milano, Italy

    Bruno Apolloni

  2. Dipartimento di Fisica “E.R. Caianiello”, Università degli Studi di Salerno, Via S. Allende, 84081, Baronissi (SA), Italy

    Maria Marinaro

  3. Department of Mathematics and Computer Science, University of Catania, Viale A. Doria 6, 95125, Catania, Italy

    Giuseppe Nicosia

  4. Department of Mathematics and Informatics, University of Salerno, Via Ponte Don Melillo, 84084, Fisciano (SA), Italy

    Roberto Tagliaferri

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© 2006 Springer-Verlag Berlin Heidelberg

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Martino, G., Petrosino, A. (2006). Fuzzy Connectivity and Its Application to Image Segmentation. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds) Neural Nets. WIRN NAIS 2005 2005. Lecture Notes in Computer Science, vol 3931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11731177_28

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  • DOI: https://doi.org/10.1007/11731177_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33183-4

  • Online ISBN: 978-3-540-33184-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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