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

Optic Disc Detection in Retinal Images using Tensor Voting and Adaptive Mean-Shift

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

3 Author(s)
Jonghyun Park ; Chonnam Nat. Univ., South Jeolla ; Nguyen Trung Kien ; Gueesang Lee

In this paper, we present a new approach to identify the position of an optic disc in retinal fundus images. The proposed algorithm is based on a tensor voting to analyze vessel structures, and the position of the optic disc is identified by mean-shift based mode detection. The core technique consists of three preprocessing stages that enhance local contrasts through illumination equalization, and we extract vessel patterns by tensor voting in equalized images. Lastly, the position of the optic disc is identified by mode detection that is based on mean-shift procedure. Our approach is evaluated against a dataset including healthy retinal images and diseased retinal images. The experimental results show that the proposed method can exactly identify the position of the optic disc from retinal fundus images.

Published in:

Intelligent Computer Communication and Processing, 2007 IEEE International Conference on

Date of Conference:

6-8 Sept. 2007

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.