Implementation of binary mathematical morphology using discrete-time cellular neural networks

Lin-Bao Yang Lin-Bao Yang,Tao Yang Tao Yang,L.O Chua,K.R Crounse

doi:10.1109/cnna.1996.566480

Implementation of binary mathematical morphology using discrete-time cellular neural networks

Lin-Bao Yang Lin-Bao Yang, Tao Yang Tao Yang + Show 2 more

https://doi.org/10.1109/cnna.1996.566480

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Publication Date: Jun 24, 1996

Citations: 4

Affiliation: Hubei University, Shanghai University, University of California, Berkeley

#Discrete-time Cellular Neural Network #Basic Mathematical Morphology Operations + Show 8 more

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Abstract

In this paper, the structures of the discrete-time cellular neural network (DTCNN) are modified for the purpose of implementation of binary mathematical morphology operations. The structure of a DTCNN for implementation of the four basic mathematical morphology operations: dilation, erosion, opening and closing are given. Two single layer DTCNNs are used to implement binary dilation and binary erosion, and two 2-layer DTCNNs are used to implement binary opening and binary closing, respectively. Simulation results are given.

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