对细胞神经网络字符图像平滑技术的研究

Character Smoothing Using Cellular Neural Network

深入研究了一种二维细胞自动机 (CA) ,找到了两个算法规则可以用来实现二值字符平滑和图像去噪处理 ,并且用这些规则设计了三种新的细胞神经网络 (CNN) 仿真结果证明这些CNN是简单而有效的 ,同时也证明了文中算法的合理性 ,为CNN的设计找到了一种新颖。

A new kind of two-dimensional cellular automata (CA) is studied. Several algorithmic rules are discovered that can be used to design new cellular neural networks (CNN) that can implement character smoothing. The results of computer simulation confirm that this new approach is simpler and more effective than that given in the literature. Furthermore, these results also confirm that our idea is reasonable and presents a novel method to design CNN.