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http://dx.doi.org/10.5369/JSST.2003.12.2.057

Analysis of Lateral Inhibitive-Function and Verification of Local Light Adaptive-Mechanism in a CMOS Vision Chip for Edge Detection  

Kim, Jung-Hwan (School of Electronic and Electrical Engineering, Kyungpook National University)
Park, Dae-Sik (School of Electronic and Electrical Engineering, Kyungpook National University)
Park, Jong-Ho (School of Electronic and Electrical Engineering, Kyungpook National University)
Kim, Kyoung-Moon (School of Electronic and Electrical Engineering, Kyungpook National University)
Kong, Jae-Sung (School of Electronic and Electrical Engineering, Kyungpook National University)
Shin, Jang-Kyoo (School of Electronic and Electrical Engineering, Kyungpook National University)
Lee, Min-Ho (School of Electronic and Electrical Engineering, Kyungpook National University)
Publication Information
Journal of Sensor Science and Technology / v.12, no.2, 2003 , pp. 57-65 More about this Journal
Abstract
When a vision chip for edge detection using CMOS process is designed, there is a necessity to implement local light adaptive-function for detecting distinctive features of an image at a wide range of light intensities. Local light adaptation is to achive the almost same output level by changing the size of receptive-fields of the local horizontal cell layers according to input light intensities, based on the lateral inhibitive-function of the horizontal cell. Thus, the almost same output level can be obtained whether input light intensities are much or less larger than background. In this paper, the horizontal cells using a resistive network which consists of p-MOSFETs were modeled and analyzed, and the local light adaptive-mechanism of the designed vision chip using the resistive network was verified.
Keywords
CMOS retina chip; CMOS vision chip; retina chip; analog CMOS retina chip;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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