Retinal Vessel Segmentation Based on Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) Algorithm

  • E. G. Dada Department of Computer Engineering, Faculty of Engineering, University of Maiduguri, Maiduguri, Borno State. Nigeria

Abstract

Acute damage to the retina vessel has been identified to be main reason for blindness and impaired vision all over the world. A timely detection and control of these illnesses can greatly decrease the number of loss of sight cases. Developing a high performance unsupervised retinal vessel segmentation technique poses an uphill task. This paper presents study on the Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) method for the segmentation of retinal vessels. A maximum average accuracy rate 0.9243 with an average specificity of sensitivity rate of 0.9834 and average sensitivity rate of 0.5721 were achieved on DRIVE database. The proposed method produces higher mean sensitivity and accuracy rates in the same range of very good specificity.

Published
Apr 1, 2017
How to Cite
DADA, E. G.. Retinal Vessel Segmentation Based on Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) Algorithm. Arid Zone Journal of Engineering, Technology and Environment, [S.l.], v. 13, n. 2, p. 229-237, apr. 2017. ISSN 2545-5818. Available at: <http://azojete.com.ng/index.php/azojete/article/view/8>. Date accessed: 22 july 2019.
Section
Articles