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The representation and description of shapes or regions that have been segmented out of an image are early steps in the operation of most Computer vision systems; they serve as a precursor to several possible higher level tasks such as object/character recognition. In this context, skeletons have good properties for data reduction and representation. In this paper we present a novel shape representation scheme, named ”NURBS Skeleton”, based on the thinning medial axis method, the pruning process and the Non Uniform Rational B-Spline (NURBS) curves approximation for the modeling step.

NURBS Skeleton: A New Shape Representation Scheme Using Skeletonization and NURBS Curves Modeling