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Secondary features segmentation from high-density tessellated surfaces

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Abstract

A new method for secondary features segmentation, performed on high-density tessellated geometric models, is proposed. Four types of secondary features are considered: fillets, rounds and grooves. Sharp edges are also recognised. The method is based on an algorithm that analyses the principal curvatures. The nodes, potentially attributable to a fillet of given geometry, are those with a certain value for the maximum principal curvature. Since the deterministic application of this simple working principle shows several problems, due to the uncertainties in the curvature estimation, a fuzzy approach is proposed. In order to segment the nodes of a tessellated model belonging to secondary features of a given radius, an appropriate set of membership functions is defined and evaluated based on some parameters, which affect the quality of the curvature estimation. A region-growing algorithm connects the nodes pertaining to a same secondary feature so that, for a given radius, one or more secondary features may be recognized. The method is applied and verified in some test cases.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of L’Aquila, Giovanni Gronchi 18, 67100, L’Aquila, Italy

    L. Di Angelo & P. Di Stefano

  2. Department of Engineering for Innovation, University of Salento, Via per Arnesano, 73100, Lecce, Italy

    A. E. Morabito

Authors
  1. L. Di Angelo
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  2. P. Di Stefano
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  3. A. E. Morabito
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Correspondence to A. E. Morabito.

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Di Angelo, L., Di Stefano, P. & Morabito, A.E. Secondary features segmentation from high-density tessellated surfaces. Int J Interact Des Manuf 12, 801–809 (2018). https://doi.org/10.1007/s12008-017-0426-8

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  • DOI: https://doi.org/10.1007/s12008-017-0426-8

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