Semi-Continuity of Skeletons in Two-Manifold and Discrete Voronoi Approximation.
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- Record sourced from PubMed, PMID 26353138.
- Also identified by DOI 10.1109/TPAMI.2015.2430342.
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Abstract
The skeleton of a 2D shape is an important geometric structure in pattern analysis and computer vision. In this paper we study the skeleton of a 2D shape in a two-manifold M , based on a geodesic metric. We present a formal definition of the skeleton S(Ω) for a shape Ω in M and show several properties that make S(Ω) distinct from its Euclidean counterpart in R(2). We further prove that for a shape sequence {Ωi} that converge to a shape Ω in M, the mapping Ω→ S̅(Ω) is lower semi-continuous. A direct application of this result is that we can use a set P of sample points to approximate the boundary of a 2D shape Ω, and the Voronoi diagram of P inside Ω ⊂ M gives a good approximation to the skeleton S(Ω) . Examples of skeleton computation in topography and brain morphometry are illustrated.
Medical subject headings
- Computer Graphics
- Imaging, Three-Dimensional
- Pattern Recognition, Automated