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An optimized synthesis of a discrete‐time cellular neural network for parallel thinning
Author(s) -
Ho ChunYing,
Mori Shinsaku
Publication year - 1994
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.4490220505
Subject(s) - template , cellular neural network , computer science , artificial neural network , binary number , cloning (programming) , sensitivity (control systems) , algorithm , contrast (vision) , parallel computing , artificial intelligence , mathematics , electronic engineering , engineering , arithmetic , programming language
The paper describes a systematic synthesizing method to realize the parallel binary image‐thinning algorithm by a discrete‐time cellular neural network. In contrast with previous studies, this paper starts from very basic local rules (algorithm) and the required cloning templates are calculated step‐by‐step. Mathematical techniques of combining compatible templates are proposed and optimization of the total number of cloning templates, the operating speed and sensitivity is addressed. Finally, the speed and circuit performances are compared with other studies.