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Visual Impairment and Blindness Identification Using Mathematical Analysis in the Retinal Vessels

Decia Augustian, A.Sampath Kumar

Detection of visual impairment and blindness identification from a fund us image is used to perform by a mathematical morphology. Early diagnosis and appropriate referral treatment can prevent visual loss. It is quite necessary to automatically extract and segment the optic disc contour from the fund us images without human interventions. Extraction of optic disc contours done using Principal Component Analysis (PCA) that proposes some rules for disease detection. PCA enables to obtain grey scale image that truly represent original RGB image that facilitates the segmentation. Algorithms Proposed in this work are Support Vector Machines(SVM), Stochastic Watershed Segmentation, Gabor Transform .The focus of the work is the automated segmentation of vessels in colour images of the retina. The relation between the size of the OD and the cup has been widely utilized for glaucoma diagnosis is an enhancement work, the optic cup will also be detected with the goal of measuring the cup-to-disc (C/D) ratioisone of the important clinical indicators of glaucoma. A highC/D ratio will indicate that a fundus is suspicious of glaucoma.