文章基本信息

标题：Fuzzy Clustering Based Glaucoma Detection Using the CDR
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作者：Thresiamma Devasia ; Poulose Jacob ; Tessamma Thomas 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2015
卷号：6
期号：3
页码：55
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Glaucoma is a serious eye disease, overtime it will result in gradual blindness. Early detection of thedisease will help prevent against developing a more serious condition. A vertical cup-to-disc ratio which isthe ratio of the vertical diameter of the optic cup to that of the optic disc, of the fundus eye image is animportant clinical indicator for glaucoma diagnosis. This paper presents an automated method for theextraction of optic disc and optic cup using Fuzzy C Means clustering technique combined withthresholding. Using the extracted optic disc and optic cup the vertical cup-to-disc ratio was calculated.The validity of this new method has been tested on 365 colour fundus images from two different publiclyavailable databases DRION, DIARATDB0 and images from an ophthalmologist. The result of the methodseems to be promising and useful for clinical work.
关键词：fundus image; optic disc; optic cup; Cup-to-Disc Ratio ; Fuzzy C Means Clustering