Open AccessDETECTION AND SEGMENTATION OF OPTIC DISC IN FUNDUS IMAGES
Author(s) -
Ch. Ramesh,
E. Udayakumar,
K. Yogeshwaran
Publication year - 2018
Publication title -
international journal of current pharmaceutical research
Language(s) - English
Resource type - Journals
ISSN - 0975-7066
DOI - 10.22159/ijcpr.2018v10i5.29688
Subject(s) - optic disc , optic cup (embryology) , glaucoma , fundus (uterus) , artificial intelligence , computer science , computer vision , segmentation , diabetic retinopathy , image processing , optic disk , image segmentation , retinal , ophthalmology , image (mathematics) , medicine , biochemistry , chemistry , diabetes mellitus , gene , eye development , phenotype , endocrinology
Objective: Image processing technique is utilized in the medical field widely nowadays. Hence, therefore, this technique is used to extract the different features like blood vessels, optic disk, macula, fovea etc. automatically of the retinal image of eye.Methods: This paper presents a simple and fast algorithm using Mathematical Morphology to find the fovea of fundus retinal image. The image for analysis is obtained from the DRIVE database. Also, this paper is enhanced to detect the Diabetic Retinopathy disease occurring in the eye.Results: Detection of optic disc boundary becomes important for the diagnosis of glaucoma. The iterative curve evolution was stopped at the image boundaries where the energy was minimum.Conclusion: The changes in the shape and size of the optic disc can be used to detect glaucoma and also cup ratio can be used as a measure of glaucoma.