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A Robust Shape Decomposition Method

  • L. P. Cordella
  • C. De Stefano
  • M. Frucci
Conference paper
  • 362 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1941)

Abstract

A shape decomposition method for non-elongated figures is proposed. The method allows to obtain structural descriptions that are widely invariant with respect to non-significant shape changes occurring in rotated or noisy instances of a same figure. The detection of the significant parts composing a figure is based on a suitable definition of shape primitives and is performed by exploiting the information associated to the skeleton pixels. In this process the regions having higher perceptive relevance are first identified and extracted from the image. Then, starting from this initial decomposition, the remaining parts of the figure are detected together with the structural relations among them. The proposed decomposition scheme is particularly appropriate for building structural descriptions in terms of attributed relational graphs. The experimental results obtained by using a large set of figures confirmed the robustness of the proposed approach and the stability of the achievable decompositions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • L. P. Cordella
    • 1
  • C. De Stefano
    • 2
  • M. Frucci
    • 3
  1. 1.Dipartimento di Informatica e SistemisticaUniversitá di Napoli “Federico II”NapoliItaly
  2. 2.Facoltá di IngegneriaUniversitá del SannioBeneventoItaly
  3. 3.Istituto di CiberneticaCNR, Arco FeliceNapoliItaly

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