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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kong, JS., Kim, SH., Shin, JK., Lee, M. (2006). An Artificial Retina Chip Using Switch-Selective Resistive Network for Intelligent Sensor Systems. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence and Bioinformatics. ICIC 2006. Lecture Notes in Computer Science(), vol 4115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816102_74
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DOI: https://doi.org/10.1007/11816102_74
Publisher Name: Springer, Berlin, Heidelberg
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