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

Author

Yang, Lin-Boo ; Yang, Tao ; Crounse, Kenneth R. ; Chua, Leon O.

Author_Institution

Univ. of E-Zhou, Hubei, China

fYear

1996

Firstpage

7

Lastpage

12

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

Keywords

cellular neural nets; image processing; mathematical morphology; binary closing; binary dilation; binary erosion; binary mathematical morphology; binary opening; discrete-time cellular neural networks; image processing; Cellular networks; Cellular neural networks; Computer networks; Concurrent computing; Gray-scale; Image processing; Laboratories; Morphological operations; Morphology; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on

Conference_Location

Seville

Print_ISBN

0-7803-3261-X

Type

conf

DOI

10.1109/CNNA.1996.566480

Filename

566480