Parallel and robust skeletonization built on self-organizing elements.
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.
Kalmár
Zsolt
Z
Department of Informatics, "József Attila" University of Szeged, Szeged, Hungary
Marczell
Zsolt
Z
Szepesvári
Csaba
C
Lörincz
Andras
A