Fuzzy C means based feature extraction and classification of diabetic retinopathy using support vector machines

Diabetic Retinopathy is a vascular disorder which can result in complete blindness. So, detection and treatment of it can prevent vision loss. This paper deals with feature extraction of retina using Fuzzy C Means and morphological methods and classification of whether the patient is suffering from Diabetic Retinopathy or not using Support Vector Machines (SVM). An automated detection of Diabetic Retinopathy is thus possible through this classification with efficiency of 97.6% which defines the efficacy of the proposed system.