Iterative neural networks for skeletonization and thinning

Raghu J. Krishnapuram; Ling-Fan Chen

doi:10.1117/12.25218

1 February 1991 Iterative neural networks for skeletonization and thinning

Raghu J. Krishnapuram, Ling-Fan Chen

Proceedings Volume 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods; (1991) https://doi.org/10.1117/12.25218
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

Skeletons provide a compact and elegant description of the shape of binary objects. They are usually obtained by performing a distance transformation on the original binary data or by thinning. In this paper we summarize some of the existing techniques in this area and introduce iterative neural networks for skeletonization and thinning. The networks are trained to learn a deletion rule and they iteratively delete points from the objects until only the skeleton remains. 1.

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Raghu J. Krishnapuram and Ling-Fan Chen "Iterative neural networks for skeletonization and thinning", Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); https://doi.org/10.1117/12.25218

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