%0 Journal Article %1 kalmar1999 %A Kalmár, Zs. %A Marczell, Zs. %A Szepesvári, Cs. %A Lörincz, A. %D 1999 %J Neural Networks %K application image networks, neural processing, %P 163--173 %R 10.1016/S0893-6080(98)00119-1 %T Parallel and Robust Skeletonization Built on Self-organizing Elements %V 12 %X 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.

@article{kalmar1999, 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.}, added-at = {2020-03-17T03:03:01.000+0100}, author = {Kalm{\'a}r, {Zs}. and Marczell, {Zs}. and Szepesv{\'a}ri, {Cs}. and L{\"o}rincz, A.}, bdsk-url-1 = {http://dx.doi.org/10.1016/S0893-6080(98)00119-1}, biburl = {https://www.bibsonomy.org/bibtex/22c81ff00e8f6bf3b954af32c733dbf8d/csaba}, date-added = {2010-08-28 17:38:14 -0600}, date-modified = {2010-09-04 12:23:43 -0600}, doi = {10.1016/S0893-6080(98)00119-1}, interhash = {ea6e64d5767509465bc831cc598f4b96}, intrahash = {2c81ff00e8f6bf3b954af32c733dbf8d}, journal = {Neural Networks}, keywords = {application image networks, neural processing,}, pages = {163--173}, pdf = {papers/marczell_SKELETON.pdf}, timestamp = {2020-03-17T03:03:01.000+0100}, title = {Parallel and Robust Skeletonization Built on Self-organizing Elements}, volume = 12, year = 1999 }