Filter and fuzzy c means based feature extraction and classification of diabetic retinopathy using support vector machines

Diabetic Retinopathy, one of the most common diseases occurring in diabetic patients results in partial or complete vision loss. So, its early detection is needed and needs to be taken care of. The paper deals with the filter based retinal vessel extraction, exudates detection using Fuzzy C means, detection and removal of optical disk using Convex Hull. Support Vector Machines (SVM) is used to classify the fundus images into Normal and Non-proliferative Diabetic Retinopathy (NPDR) or Proliferative Diabetic Retinopathy (PDR). The system attains an efficiency of 96.23% which defines the efficacy of the proposed system.