Detection of Glaucoma and Microaneurysm in Retinal Fundus Images Based on Optic Disk and Optic Cup Segmentation

Abstract

Diabetes cause’s metabolic and physiological abnormalities in the retina and the changes suggest a role for inflammation in the development of diabetic retinopathy. The occurrence of micro aneurysms, a small red dot in retinal layer in the eye, is one of the early signs of diabetic retinopathy. To serve this purpose, various automated systems have been designed which includespreprocessing methods and candidate extractors. The objectives of this paper are to classify different stages of diabetic retinopathy as mild, Moderate, and Severe. Glaucoma is an irreversible chronic eye disease that leads to vision loss. In this paper, we propose a method for cup to disc ratio (CDR) assessment using 2-D retinal fundus images. In the proposed method, the optic disc and optic cup is segmented using thresholding algorithm. The cup to disc ratio (CDR) is computed based on the measurement of the segmented optic disc and optic cup. The Cup to Disc Ratio (CDR) of the color retinal fundus camera image is the primary identifier to confirm Glaucoma for a given patient.