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Using top-down and bottom-up analysis for a multi-scale skeleton hierarchy

  • Gunilla Borgefors
  • Giuliana Ramella
  • Gabriella Sanniti di Baja
Session 5: Shapes & Surfaces
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1310)

Abstract

Multi-scale skeletons can be conveniently employed in the matching phase of a recognition task. The multi-scale skeletons are here obtained by first computing the skeleton at all levels of a resolution structure and then establishing a hierarchy among skeleton components at different scales, using a parent-child relationship. Although subsets of the skeleton expected to represent given pattern subsets may consist of different number of components at different scales, a component preserving decomposition is obtained that produces a hierarchy in accordance with human intuition.

Keywords

Resolution Level White Pixel Pyramid Level Human Intuition Child Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Gunilla Borgefors
    • 1
  • Giuliana Ramella
    • 2
  • Gabriella Sanniti di Baja
    • 2
  1. 1.Centre for Image AnalysisSwedish University of Agricultural SciencesUppsalaSweden
  2. 2.Italian National Research CouncilIstituto di CiberneticaNaplesItaly

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