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An Artificial Retina Chip Using Switch-Selective Resistive Network for Intelligent Sensor Systems

  • Jae-Sung Kong
  • Sang-Heon Kim
  • Jang-Kyoo Shin
  • Minho Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4115)

Abstract

We designed and fabricated a bio-inspired CMOS vision chip for edge detection using a switch-selective resistive network. A CMOS buffer circuit, which is embodied in the structure of a common drain amplifier, is commonly used for both raw and smoothed images by using additional switches. By using the switch-selective resistive network, the total number of MOSFETs in the unit pixel and fixed-pattern noise (FPN) was reduced. In addition, by applying the saturating resistive network, the chip outputs a uniform edge signal under various lighting conditions. From the experimental results of a fabricated one-dimensional array with 20 pixels, we could confirm the operation of the vision chip.

Keywords

Edge Detection Bipolar Cell Horizontal Cell Resistive Network Resistive Circuit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jae-Sung Kong
    • 1
  • Sang-Heon Kim
    • 1
  • Jang-Kyoo Shin
    • 1
  • Minho Lee
    • 1
  1. 1.Department of ElectronicsKyungpook National UniversityDaeguSouth Korea

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