Cellular neural network simulator for image processing applications

Author

Caponetto, R. ; Lavorgna, M. ; Martinez, A. ; Occhipinti, L.

Author_Institution

Soft Comput. & Multimedia Technol. Group, SGS-Thomson Microelectron., Catania, Italy

fYear

1998

fDate

14-17 Apr 1998

Firstpage

360

Lastpage

365

Abstract

This paper presents a cellular neural network simulator software, called SIMUL CN², for image-processing applications. The software is designed to handle both black-and-white and 256 gray levels images. All the template matrices used are assumed space-invariant with dimension 3×3 or 5×5. The software simulator acts as a development system and an evaluation tool for VLSI chips which are currently under study. An automatic optimization tool together with some experimental applications are also reported

Keywords

cellular neural nets; image processing; optimisation; parallel processing; simulation; software packages; 256 gray level images; SIMUL CN²; black-and-white images; cellular neural network; image processing; optimization; simulator software; Application software; CMOS technology; Cellular neural networks; Computational modeling; Computer architecture; Image processing; Multimedia computing; Pixel; Software tools; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on

Conference_Location

London

Print_ISBN

0-7803-4867-2

Type

conf

DOI

10.1109/CNNA.1998.685402

Filename

685402