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Parallel and robust skeletonization built on self-organizing elements

delete1999-01-01
delete5
PRE
AI
Z
Zsolt Kalmár
Z
Zsolt Marczell
C
Csaba Szepesvári
A
András Lörincz *
DOI：10.1016/S0893-6080(98)00119-1delete
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Abstract

Abstract

En 中文
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. (C) 1999 Elsevier Science Ltd. All rights reserved.
Keywords:
ANN
skeletonization
self-organization
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Neural Networks cover
Neural Networks
IF:
6.3
Papers:
7.8K
Citations:
3.0W

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No organization information available