由于细胞神经网络具有高速并行运算、便于硬件实现等特点，因此这种方法在图像实时处理中也具有很大的潜力和应用前景。
Because the cellular neural networks are uniquely suitable for the high-speed parallel computation and easy to implement in hardware, this model has more potential in real-time image processing.
本文主要研究的是细胞神经网络(CNN)模板的设计及其在图像处理上的应用。
In this paper, we lay primary emphasis on the template design and application in image processing of cellular neural networks (CNN).
细胞神经网络由于其连续时间的特性，因此在图象处理和图形辩识方面有着潜在的应用。
Cellula Neural Network has potential applications in image processing and recognizing because of its property of continuous time.
本文主要研究了细胞神经网络无时滞和有时滞的几类模型的稳定性和基于离散细胞神经网络在图像处理方面的应用。
In this paper, some theorems of stability for several kinds of CNNs are proved and applications in image processing are also obtained.
因此，有必要研究细胞神经网络在视频序列图像中目标分割和追踪的应用及其相关算法。
So, it is necessary to study the segment and the tracking of moving object in video image.
因此，有必要研究细胞神经网络在视频序列图像中目标分割和追踪的应用及其相关算法。
So, it is necessary to study the segment and the tracking of moving object in video image.
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