Premium
Asynchronous demodulation technique for use in vision sensor image classification and segmentation
Author(s) -
Habibi M.,
Sayedi S. M.
Publication year - 2011
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.614
Subject(s) - demodulation , computer science , artificial intelligence , computer vision , asynchronous communication , pixel , segmentation , frame (networking) , process (computing) , frame rate , object (grammar) , telecommunications , channel (broadcasting) , operating system
This paper presents a novel technique for classification and segmentation of a multiple‐object image scene. Each object in the scene is tagged by a flashing LED operating at a specific frequency. The vision sensor, based on this technique, demodulates the captured light signal, omits the background illumination, and performs classification by assigning a unique ID‐tag to each region based on its flashing light frequency. The process is performed in‐pixel by an asynchronous demodulation and frequency identification circuit, which is designed in a standard 0.6µm CMOS technology. Simulation results confirm the validity of the proposed structure. At a frame rate of 250 fps the power consumption is 2.6µW/pixel, which is relatively low compared with those of sensors with similar functionality. The structure is intended for use as a low power, inexpensive solution in robot visual position feedback and localization. Copyright © 2009 John Wiley & Sons, Ltd.