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An Automatic Three-Dimensional Fuzzy Edge Detector

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

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Abstract

Three-dimensional object analysis is of particular interest in many research fields. In this context, the most common data representation is boundary mesh, namely, 2D surface embedded in 3D space. We will investigate the problem of 3D edge extraction, that is, salient surface regions characterized by high flexure. Our automatic edge detection method assigns a value, proportional to the local bending of the surface, to the elements of the mesh. Moreover, a proper scanning window, centered on each element, is used to discriminate between smooth zones of the surface and its edges. The algorithm does not require input parameters and returns a set of elements that represent the salient features on the model surface. This method is general enough, returns representative structures of the object, as edges, and can be considered as a pre-processing step for further applications, such as 3D compact representation, matching and recognition.

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Author information

Authors and Affiliations

  1. Dipartimento di Matematica e Applicazioni, Università degli Studi di Palermo, Italy

    Marco Cipolla, Fabio Bellavia & Cesare Valenti

Authors
  1. Marco Cipolla

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  2. Fabio Bellavia

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  3. Cesare Valenti

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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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Cipolla, M., Bellavia, F., Valenti, C. (2009). An Automatic Three-Dimensional Fuzzy Edge Detector. 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_28

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