NURBS skeleton: a new shape representation scheme using skeletonization and NURBS curves modeling

Authors:
Mohamed Naouai;Atef Hammouda;Sawssen Jalel;Christiane Weber
Affiliations:
Faculty of Science of Tunis, University campus el Manar DSI 2092 Tunis Belvdaire-Tunisia Research unit Urpah, France;Faculty of Science of Tunis, University campus el Manar DSI 2092 Tunis Belvdaire-Tunisia Research unit Urpah, France;Faculty of Science of Tunis, University campus el Manar DSI 2092 Tunis Belvdaire-Tunisia Research unit Urpah, France;Laboratory Image and Ville UMR7011-CNRS, University Strasbourg 3, Strasbourg, France
Venue:
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2011

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Abstract

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.