二值图象平滑算法和细胞神经网络实现

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Abstract 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.

Key words： Cellular neural network Boolean expression Binary image Smoothing algorithm

Received: 01 February 1994

PACS:	TN911.73
	TN-052

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	Yang Tao

Cite this article:

Yang Tao. SMOOTHING ALGORITHMS FOR BINARY IMAGE USING CELLULAR NEURAL NETWORKS[J]. , 1996, 18(1): 7-14 .

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http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y1996/V18/I1/7

[1]	DAI Zibin, WANG Zhouchuang, LI Wei, LI Jiamin, Nan Longmei. Hardware Implementation and Utilization Model Research for Reconfigurable Non-linear Boolean Function[J]. JEIT, 2017, 39(5): 1226-1232.