Title :
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
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;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685402
