title: Parallel and robust skeletonization built on self-organizing elements.
abstract: A massively parallel neural architecture is suggested for the approximate computation of the skeleton of a planar shape. Numerical examples demonstrate the robustness of the method. The architecture is constructed from self-organizing elements that allow the extension of the concept of skeletonization to areas remote to image processing.
authors.affiliation: Department of Informatics, "József Attila" University of Szeged, Szeged, Hungary
authors.forename: Zsolt
authors.initials: Z
authors.lastname: Kalmár
authors.forename: Zsolt
authors.initials: Z
authors.lastname: Marczell
authors.forename: Csaba
authors.initials: C
authors.lastname: Szepesvári
authors.forename: Andras
authors.initials: A
authors.lastname: Lörincz