基于摩尔近邻模型的二维元胞自动机在图像处理中的应用

Two-dimension Cellular Automata with Moore Neighborhood Model for Application of Image Processing

元胞自动机是一种具有空间、时间和状态离散性的动力学系统。在简单介绍了元胞自动机基本原理的基础上,提出采用二维元胞自动机对图像做边缘检测以及对破坏图像做恢复的算法。通过与传统处理方法的结果比较,表明该算法具有处理速度快、质量较好、易于硬件集成等优点,是一种新颖实用的图像处理算法。

Cellular automata is one of the dynamical systems in which space, time and state are discrete. In this paper, we simply introduce the basic principle of cellular automata,and proposal algorithms for image＇s edge detection and image restoration,which is utilized of the two- dimension cellular automata neighborhood. Comparing with the instance of the traditional method,it shows that this algorithms have some advantages such as high processing speeds, good processing quality and easy integration of hardware,and so on. Thus,the algorithm is a kind of novel and practical method of image processing.