Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

An AIS approach to a color image classification problem in a real time industrial application

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)
Sathyanath, S. ; Dept. of Electr. Eng., Rochester Inst. of Technol., NY, USA ; Sahin, F.

An artificial immune system is applied to a pattern recognition problem. Artificial immune systems (AIS) possess nonlinear classification properties along with the biological properties such as self/non-self identification, positive and negative selection. In this paper, we propose a computational implementation of negative selection of immune system along with genetic algorithm to perform a color image classification task. The images used for classification are finished wooden components. The wooden components are kitchen cabinets manufactured by American Woodmark Corporation. The images are obtained from Virginia Polytechnic Institute and State University. The classification addresses the average RGB values of the images and the percentage of correct classification is obtained for a set of test and sample images

Published in:

Systems, Man, and Cybernetics, 2001 IEEE International Conference on  (Volume:4 )

Date of Conference:

2001