Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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A light-adaptive CMOS vision chip for edge detection using saturating resistive network

포화 저항망을 이용한 광적응 윤곽 검출용 시각칩

  • 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)
  • 공재성 (경북대학교 전자공학과) ;
  • 서성호 (경북대학교 전자공학과) ;
  • 김정환 (경일대학교 전자정보통신공학부) ;
  • 신장규 (경북대학교 전자공학과) ;
  • 이민호 (경북대학교 전자공학과)
  • Published : 2005.11.30
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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

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References

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Cited by

  1. A 160×20 Light-Adaptive CMOS Vision Chip for Edge Detection Based on a Retinal Structure Using a Saturating Resistive Network 2016, https://doi.org/10.4218/etrij.07.0106.0214