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本文借鉴视觉神经系统中普遍存在的“侧抑制”功能,利用电子网络实现从强背景中提取图象轮廓信息,从而大大提高了光电成象系统对图象的识别能力。文中对实现这种侧抑制功能的电子网络的频率特性及实验方法作了分析与讨论。
This article draws on the ubiquitous “side inhibition” function in the visual nervous system and uses the electronic network to extract the contour information from the strong background so as to greatly improve the ability of the electro-optical imaging system to recognize images. In this paper, we analyze and discuss the frequency characteristics and experimental methods of the electronic network to realize this kind of side suppression function.