Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images

Chaichana, Thanapong and Sun, Zhonghua and Barrett-Baxendale, Mark and Nagar, Atulya K. (2017) Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images. Advances in Intelligent Systems and Computing, 2. ISSN 2194-5357 Print ISBN 978-981-10-3324-7 Online ISBN 978-981-10-3325-4 (Accepted for Publication)

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Retinal blood vessels are linked with hypertension and cardiovascular disease. It is generally known that vascular bifurcation is mainly involved in varying blood flow velocity as well as its pressure. This paper presents an
efficient method for automatic location of blood vessel bifurcations in digital eye fundus images. The proposed algorithm comprised of three main steps: image enhancement, fuzzy clustering, and searching vascular bifurcation. The purposed algorithm revealed successful detection of bifurcations upon test images. Results showed improved diagnostic accuracy in identifying bifurcations with use of the proposed algorithm and encourage its use for further applications such as image registration, personal identification and pre-clinical scanning of retina diagnosis.

Item Type: Article
Additional Information and Comments: The final version is available at:
Keywords: Bifurcation, retinal image, fuzzy clustering, imaging algorithm, automatic location, fundus image.
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Thanapong Chaichana
Date Deposited: 09 Mar 2017 11:17
Last Modified: 20 Jul 2018 11:20

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