Abstract
In this paper, a vision chip for edge detection based on the structure of a biological retina is introduced. The chip processes an image in a bio-inspired vision mechanism; therefore, it is proper for the neuromorphic systems. Logarithmic active pixel sensor (APS) was applied to the vision chip. By applying a MOS-type photodetector to the logarithmic APS, we could achieve sufficient output swing for the vision chip in natural illumination condition. A correlated-double sampling technique was applied to the chip for noise suppression. In addition, a CMOS buffer circuit is commonly used for both raw and smoothed images by using additional switches. This structure helps reduce the total number of MOSFETs for a unit-pixel and noise. A vision chip with a 160×120 pixel array was fabricated using a 0.35 μm double-poly four-metal CMOS technology, and its operation was successfully demonstrated.
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Kong, JS., Sung, DK., Hyun, HY., Shin, JK. (2008). A 160×120 Edge Detection Vision Chip for Neuromorphic Systems Using Logarithmic Active Pixel Sensor with Low Power Dissipation. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_11
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DOI: https://doi.org/10.1007/978-3-540-69162-4_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69159-4
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