文章基本信息

标题：Automatic Optic Disc Localization and Segmentation using Swarm Intelligence
本地全文：下载
作者：Thresiamma Devasia ; Poulose Jacob ; Tessamma Thomas 等
期刊名称：The World of Computer Science and Information Technology Journal
印刷版ISSN：2221-0741
出版年度：2015
卷号：5
期号：6
页码：6
语种：English
出版社：WCSIT Publishing
摘要：The optic disc may be distinguished in eye fundus images as a rounded shape having high intensity values. An efficient localization and segmentation of optic disc in colour retinal images is a significant task in an automated retinal image analysis process. It is a challenging task to detect optic disc in all types of retinal images, that is, normal, healthy images. This paper presents an automated method to locate and segment the optic disc in all types of retinal color fundus images using histogram based particle swarm optimization techniques. The technique is tested on 235 images obtained from publicly available database DRION, and certain images obtained from an ophthalmologist. The performance analysis was done using the ground truth of DRION database. From the scatter plot, it is shown that the ground truth and detected optic disc centers have a high positive correlation. The results of the new method seem promising and useful to clinical work. Keywords- fundus image; optic disc; particle swarm optimization; retinal images.