Title :
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
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;
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
DOI :
10.1109/CNNA.2002.1035054
