A piecewise-linear simplicial coupling cell for CNN gray-level image processing

Author

Julián, Pedro ; Dogaru, Radu ; Chua, Leon O.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA

Volume

3

fYear

2001

fDate

6-9 May 2001

Firstpage

109

Abstract

We propose a universal piecewise-linear coupling cell, the Simplicial Cell, which satisfies the guidelines provided for a universal cell, and is intended to work with binary as well as gray-level inputs. The performance of the cell is one of the salient features of the approach; in fact, in the case of a 3×3 sphere of influence, it only needs to evaluate a linear combination of 10 terms to produce the output

Keywords

Boolean functions; cellular neural nets; computational complexity; image processing; learning by example; piecewise linear techniques; Boolean functions; CNN gray-level image processing; binary inputs; cell performance; gray-level inputs; learning from examples; linear combination of terms; minimum complexity function; piecewise-linear simplicial coupling cell; universal cell; Artificial intelligence; Boolean functions; Cellular networks; Cellular neural networks; Convergence; Guidelines; Image processing; Nonlinear equations; Piecewise linear techniques; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-6685-9

Type

conf

DOI

10.1109/ISCAS.2001.921258

Filename

921258