SMOOTHING ALGORITHMS FOR BINARY IMAGE USING CELLULAR NEURAL NETWORKS
二值图象平滑算法和细胞神经网络实现

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.