Cart (Loading....) | Create Account
Close category search window
 

Adaptive color image processing and recognition for varying backgrounds and illumination conditions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wen-Chiang Huang ; Dept. of Electr. Eng., Auburn Univ., AL, USA ; Chwan-Hwa Wu

The paper presents a fuzzy-based method for recognizing color objects in a complex background under varying illumination. Fuzzy rules are generated using a fuzzy associative memory (FAM) training method to cope with chromatic distortion. The color model used is the hue, saturation, and value (HSV) color model. The authors propose a unique adaptive fuzzy system, motivated by the human vision system's color constancy, in order to accommodate varying background color and illumination conditions, as well as incorrect focus of the camera. This adaptive system can adjust the fuzzy rules dynamically based on the properties of surrounding pixels in order to make a decision. The proposed method is tested on a two-hour video tape captured by a GPSVan, in which real-world scenes may have incorrect video camera focus, color distortions, and varying illumination conditions. Experimental results are reported and analyzed

Published in:

Industrial Electronics, IEEE Transactions on  (Volume:45 ,  Issue: 2 )

Date of Publication:

Apr 1998

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.