New Approach of MA Detection & Grading Using Different Classifiers

Diabetic retinopathy (DR) is the most frequent cause of cases of blindness among adults aged 20?74 years. Since the presence of microaneurysms (MAs) is usually the first sign of DR and occurs due to damage in the retina as a result of long term illness of diabetic mellitus. Early microaneurysm detection can help reduce the incidence of blindness and Microaneurysm detection is the first step in automated screening of diabetic retinopathy.Since micro aneurysm detection is decisive in diabetic retinopathy (DR) grading. Grading performance of computer aided DR screening system highly depends on MA detection. In this paper we propose a MA detector that provides remarkable results from both aspect.