An Efficacious Method of Cup to Disc Ratio Calculation for Glaucoma Diagnosis Using Super pixel

Glaucoma is a chronic eye disease that leads to vision loss. Since it cannot be cured, detecting the disease in time is important. The tests which are done to detect Glaucoma using intraocular pressure (IOP) are not sensitive enough for population based glaucoma screening. The assessment of Optic nerve head damage in retinal fundus images is both more promising and superior. In this paper the optic disc and optic cup segmentation using Superpixel classification for glaucoma screening. The SLIC (Simple Linear Iterative Clustering) algorithm is incorporated to segment the fundus retinal image into compact and nearly uniform superpixels. Unlike dividing an image into a grid of regular pixels, superpixels have the important property of preserving local boundaries. The segmented optic disc and optic cup are then used to compute the cup to disc ratio for glaucoma screening. The Cup to Disc Ratio (CDR) of the color retinal fundus camera image is the primary identifier to confirm Glaucoma for a given patient. Superpixels are becoming increasingly popular in computer vision applications because of improved performance over pixel-based methods. Index Terms – intraocular pressure (IOP), superpixel, cup to disc ratio (CDR).