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

P. Ecimovic1, J. Wu2
1Centre for Research in Earth and Space Science, York University, Toronto, ONT, Canada
2Labomtow for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, ONT, Canada

Tóm tắt

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.

Từ khóa

#Cellular neural networks #Delay #Personal digital assistants #Pervasive computing #Object detection #Integrated circuit modeling #Equations #Mathematics #Neural networks #Impedance

Tài liệu tham khảo

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