By Topic

A Novel Retinal Blood Vessel Segmentation Method Based on Line Operator and Edge Detector

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

4 Author(s)
Chin-Chen Chang ; Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung, Taiwan ; Chia-Chen Lin ; Pei-Yan Pai ; Yen-Chang Chen

The segmented blood vessel in retinal images is an important indicator in medical treatment. In 2007, Ricci and Perfetti proposed a simple and efficient blood vessel segmentation method based on line operator. However, this scheme makes some false segmentation when it is used to process the pixels which are close to a thick blood vessel. To overcome the above problem, a novel retinal blood vessel segmentation method based on line operator and edge detector, also called (RBVSLE), was proposed. The RBVSLE enhances the contrast of the green-channel of the retinal images. Next, the RBVSLE creates the edge map, which is denoted as vessel growth seed map, by using a canny detector. Finally, the RBVSLE segments vessel pixel by line operator from vessel growth seed map. Experimental results confirm the accuracy rate of RBVSLE is approximately 94% which is significantly better than other methods.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on

Date of Conference:

12-14 Sept. 2009