A bio-inspired CMOS vision chip for edge detection using an offset-free column readout circuit

Jang-Kyoo Shin; Sung-Ho Suh; Jae-Sung Kong; Jung-Hwan Kim; Minho Lee

doi:10.1117/12.610956

29 June 2005 A bio-inspired CMOS vision chip for edge detection using an offset-free column readout circuit

Jang-Kyoo Shin, Sung-Ho Suh, Jae-Sung Kong, Jung-Hwan Kim, Minho Lee

Proceedings Volume 5839, Bioengineered and Bioinspired Systems II; (2005) https://doi.org/10.1117/12.610956
Event: Microtechnologies for the New Millennium 2005, 2005, Sevilla, Spain

Abstract

The noise problem, such as the fixed pattern noise (FPN) due to the process variation, should be considered when designing a vision chip. In this paper, we proposed an edge detection circuit based on biological retina using an offset-free column readout circuit (OFCRC) to reduce the FPN occurring in the photo-detector. The OFCRC consists of one source follower, one capacitor and five transmission gates. Thus, it is simpler than a conventional correlated double sampling (CDS) circuit. A vision chip for edge detection has been designed and fabricated using a 0.35μm 2-poly 4-metal CMOS process and its output characteristics have been investigated.

Citation Download Citation

Jang-Kyoo Shin, Sung-Ho Suh, Jae-Sung Kong, Jung-Hwan Kim, and Minho Lee "A bio-inspired CMOS vision chip for edge detection using an offset-free column readout circuit", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); https://doi.org/10.1117/12.610956

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available