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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Automatic Recognition of 2D Shapes from a Set of Points
verfasst von : Benoît Presles, Johan Debayle, Yvan Maillot, Jean-Charles Pinoli
Erschienen in: Image Analysis and Recognition
Verlag: Springer Berlin Heidelberg
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2D shape recognition from a set of points is largely used in several imaging areas such as geometric modeling, image visualization or medical image analysis. However, the perceived shape of a set of points is subjective. It is mainly influenced by the spatial arrangement of the points and by several cognitive factors. The Delaunay filtration methods derived from the well-known
α
-shapes, like LDA-
α
-shapes or conformal-
α
-shapes, provide a family of shapes capturing the intuitive notion of “crude” versus “fine” shape of a set of points. In this paper, a quantitative criterion based on shape measurements is defined for extracting the “optimal” shape from this family that best corresponds to the human visual perception. A novel automatic shape recognition method is proposed and successfully evaluated on the KIMIA image database, where the reference shapes are known and sampled by generating 2D point sets.