Syntheses of Discrete-Time Cellular Neural Networks for Binary Image Processing (Special Section on Neural Nets, Chaos and Numerics)

概要

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In this paper, a synthesizing method is proposed for the design of discrete-time cellular neural networks for binary image processing. Based on the theory of digital-logical design paradigm of threshold logic, the template parameters of the discrete-time cellular neural network for a prescribed binary image processing problem are calculated. Application examples including edge detection, connected component detection, and hole filling are given to demonstrate the merits and limitations of the proposed method. For a given realization of the parameters of the cloning template, a guideline for the selection of the offset I_c for maximum error tolerance is also considered.
社団法人電子情報通信学会の論文
1993-05-25