Futuristic Approach With Lesion Detection And Grading In Diabetic Retinopathy Based On Hybrid Classifier

Abstract

Diabetic retinopathy has become one of the major reasons for vision loss in the world. Proper care and timely treatment may save one’s eyesight. Early detection of diabetic retinopathy is a challenging task. But, with the help of automated systems, detection can be made easy. The process of recognition of diabetic retinopathy goes through several stages such as image acquisition, image pre-processing, segmentation, feature extraction and classification. This paper is an extension of our previous work. It emphasizes on various aspects of implementation of the method on different platform that can enhance the performance in future.