NDLI: Automatic segmentation of optic disc using modified multi-level thresholding

Content Provider	IEEE Xplore Digital Library
Author	Kankanala, M. Kubakaddi, S.
Copyright Year	2014
Description	Author affiliation: Itie Knowledge Solutions, India (Kubakaddi, S.) \|\| Dept. of Electron. & Commun., SSN Coll. of Eng., Chennai, India (Kankanala, M.)
Abstract	Diabetic retinopathy and glaucoma are chronic eye diseases that lead to blindness if not diagnosed and treated in time. In the study of the different stages of Diabetic Retinopathy (DR) and Glaucoma, the use of retinal image analysis has become indispensable. The structure of the optic disc, the cup-to-disc ratio (CDR) and the thickness of the blood vessels are indicators of the condition of the eye. This paper proposes a novel method of automated OD (optic disc) segmentation using a modified multi-thresholding technique on a pre-processed fundus image. The algorithm we propose proceeds through three main steps: Pre-processing on the fundus image, followed by segmentation using the proposed novel multi-level Thresholding method and finally using morphological operations over the processed image to obtain the segmented results. The results from this method of segmentation are compared with those obtained using K-means clustering algorithm and the superiority of our method is demonstrated.
Starting Page	000125
Ending Page	000130
File Size	854588
Page Count	6
File Format	PDF
e-ISBN	9781479918126
DOI	10.1109/ISSPIT.2014.7300575
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Optical imaging Retina Blood vessels Biomedical imaging Optical filters Diseases Bioinformatics Optic disc segmentation Image Processing Diabetic Retinopathy Glaucoma Cup-to-disc ratio
Content Type	Text
Resource Type	Article

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