NDLI: A silicon retina system for color constancy

Content Provider	IEEE Xplore Digital Library
Author	Shimonomura, K. Yagi, T.
Copyright Year	2010
Description	Author affiliation: Department of Robotics, Ritsumeikan University, Kusatsu, Shiga, Japan (Shimonomura, K.) \|\| Graduate School of Engineering, Osaka University, Suita, Osaka, Japan (Yagi, T.)
Abstract	A silicon retina is an intelligent vision sensor that can execute real-time image preprocessing by using a parallel analog circuit that mimics the structure of the neuronal circuits in a vertebrate retina. We have designed and fabricated a frame-based, wide dynamic range silicon retina with an active pixel sensor that approximates the logarithmic illumination-to-voltage transfer characteristics by using a time-dependent stepped reset voltage technique. In the present study, we described the silicon retina and its application to robust color detection against changes of illumination. A present model for color constancy is based on Land's retinex theory and opponent color theory. In this model, an input image is divided into red, green, and blue channels, and received by the image sensors with a logarithmic response. In each channel, the received image is filtered by a Laplacian-Gaussian spatial filter. And then, the opposite color responses, namely redgreen and yellow-blue, are calculated. The specific color can be detected by specifying the area on the opponent color plane which is composed of two opposite color responses. We consider a hardware implementation of real time color vision system employing three wide dynamic range silicon retinas and FPGA.
Starting Page	1
Ending Page	5
File Size	912668
Page Count	5
File Format	PDF
ISBN	9781424496730
ISSN	21544824
e-ISBN	9781889335421
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Lighting color constancy Wide dynamic range silicon retina logarithmic response
Content Type	Text
Resource Type	Article

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