By Topic

Segmentation of blood vessels in color fundus images based on optimal multi-threshold method

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)
Fa-Ling Yi ; Sch. of Med. Inf. Eng., Guangdong Pharm. Univ., Guangzhou, China ; Wen-Hua Xu

Blood vessels in fundus images contain large number of important diagnosis information, while it is too tedious for clinicians to distinguish. This paper proposes a method to segment blood vessels efficiently. Firstly, non-uniform enhancement was used to balance the non-uniform background induced by light. Then the image was divided into grids. Secondly, optimal threshold was selected for each grid. Finally, blood vessels were segmented in gray images. The experimental results show that the extracted blood vessels have well continuity and accurate center-line which provides useful information support to clinicians.

Published in:

Machine Learning and Cybernetics (ICMLC), 2012 International Conference on  (Volume:2 )

Date of Conference:

15-17 July 2012