基于状态相关延迟的细胞神经网络的延迟驱动对比度增强

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035054

P. Ecimovic, J. Wu

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引用次数: 1

摘要

我们设计了一个具有状态依赖延迟的细胞神经网络模型，用于对连续图像序列(例如运动图像数据)执行延迟驱动的对比度增强。在此，我们报告了用最近发布的求解包含状态相关延迟的时滞微分方程系统的算法对该系统进行模拟的一些初步结果。

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

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.

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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