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http://dx.doi.org/10.5369/JSST.2005.14.6.430

A light-adaptive CMOS vision chip for edge detection using saturating resistive network  

Kong, Jae-Sung (Department of Electronics, Kyungpook National University)
Suh, Sung-Ho (Department of Electronics, Kyungpook National University)
Kim, Jung-Hwan (School of Electronic Information and Communication Engineering, Kyungil University)
Shin, Jang-Kyoo (Department of Electronics, Kyungpook National University)
Lee, Min-Ho (Department of Electronics, Kyungpook National University)
Publication Information
Journal of Sensor Science and Technology / v.14, no.6, 2005 , pp. 430-437 More about this Journal
Abstract
In this paper, we proposed a biologically inspired light-adaptive edge detection circuit based on the human retina. A saturating resistive network was suggested for light adaptation and simulated by using HSPICE. The light adaptation mechanism of the edge detection circuit was quantitatively analyzed by using a simple model of the saturating resistive element. A light-adaptive capability of the edge detection circuit was confirmed by using the one-dimensional array of the 128 pixels with various levels of input light intensity. Experimental data of the saturating resistive element was compared with the simulated results. The entire capability of the edge detection circuit, implemented with the saturating resistive network, was investigated through the two-dimensional array of the $64{\times}64$ pixels
Keywords
vision chip; edge detection; light-adaptive capability; saturating resistive network;
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