By Topic

A Novel Approach for Blood Vessel Edge Detection in Retinal Images

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
$33 $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

7 Author(s)
Yu Guang Zhang ; Dept. of Radiol., Taishan Med. Univ., Taian, China ; Xin Yong Guo ; Lei Hu ; Qin He Dang
more authors

Blood vessel appearance is an important indicator for many diagnoses, including diabetes, hypertension, and arteriosclerosis. Blood Vessel edge detection in retinal images is very important in medical image processing. A lot of algorithms have been suggested for extracting medical image edges, and however, obtaining continuous edges with less over-detection points is difficult for edge extraction. In this paper, we propose a novel approach for blood vessel edge detection by integrating wavelet with fractal. First, accurate edges are extracted by employing wavelet technique. Then, continuous edges are obtained based on fractal technique. Finally, the experiments aptly show that our algorithm can obtain better edge continuity comparing with canny operator.

Published in:

2009 2nd International Conference on Biomedical Engineering and Informatics

Date of Conference:

17-19 Oct. 2009