二值图象平滑算法和细胞神经网络实现

SMOOTHING ALGORITHMS FOR BINARY IMAGE USING CELLULAR NEURAL NETWORKS

本文利用细胞神经网络(CNN)的基本处理单元一细胞的分段线性饱和输出特性和相平面分析法实现了线性可分和线性不可分布尔函数。并利用这一原则实现了二值图象的多种CNN平滑算法。

The piecewise linear saturation characteristics of cell in a cellular neural network(CNN) and phase plane analysis method are used to realize linear separable and nonseparable Boolean expressions. And the principle is also used to achieve some CNN smoothing algorithms for binary images.