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

Capsule endoscopy images classification by color texture and support vector machine

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)
Baopu Li ; Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China ; Meng, M.Q.-H.

Capsule endoscopy (CE) is considered to be a state-of-the-art imaging modality for digest tract diseases detection, especially for small intestine, which is unreachable by traditional endoscopy techniques. However, the large number of images produced by the procedure, about 60,000 images for each examination, cause a time consuming and attention intensive task for physicians, necessitating the development of computer aided detection system. In this paper, we propose a computerized scheme to discriminate among normal CE images and CE images with three common diseases in GI tract, i.e., bleeding, ulcer and tumor. To achieve this goal, features related to color texture characteristics of CE images are extracted. Based on the features, multiclass support vector machine (SVM) built from binary SVM is further applied to separate different CE images. Preliminary experiments on our present image data demonstrate that it is promising to employ the proposed scheme built upon one-against-one binary SVM to differentiate different CE images.

Published in:

Automation and Logistics (ICAL), 2010 IEEE International Conference on

Date of Conference:

16-20 Aug. 2010

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.