Delay-driven contrast enhancement using a cellular neural network with state-dependent delay

Author

Ecimovic, P. ; Wu, J.

Author_Institution

Centre for Res. in Earth & Space Sci., York Univ., North York, Ont., Canada

fYear

2002

fDate

22-24 Jul 2002

Firstpage

202

Lastpage

208

Abstract

We design a cellular neural network model with state-dependent delay to perform delay-driven contrast enhancement on continuous image sequences, e.g., in moving image data. We report here some preliminary results of a simulation of this system using a recently-released algorithm for solving systems of delay differential equations containing state-dependent delays.

Keywords

cellular neural nets; delays; differential equations; image enhancement; image sequences; CNN; cellular neural network; continuous image sequences; delay differential equations; delay-driven contrast enhancement; state-dependent delay; Cellular neural networks; Delay; Equations; Impedance; Integrated circuit modeling; Mathematics; Neural networks; Object detection; Personal digital assistants; Pervasive computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on

Print_ISBN

981-238-121-X

Type

conf

DOI

10.1109/CNNA.2002.1035054

Filename

1035054

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2286315