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Early Detection of Microaneurysm Detection in Diabetic retinopathy


Soumya Patil , Shetty Institute of Technology, Kalaburagi; Aparna, Shetty Institute of Technology, Kalaburagi; Shweta, Shetty Institute of Technology, Kalaburagi; Venkatesh, Shetty Institute of Technology, Kalaburagi


Diabetic retinopathy; Automated detection; Microaneurysms


Diabetic retinopathy (DR) is a common retinal complication associated with diabetes. It is a major cause of blindness in middle as well as older age groups. Therefore early detection through regular screening and timely intervention will be highly beneficial in effectively controlling the progress of the disease. If not diagnosed and treated in time, diabetes can encourage other illnesses in the body of patients. One such illness is related to the retina of human eyes that affects the retina and retinal structure in certain ways. Hence a method for the automatic detection and classification of disease severity is aimed at this work. In this paper different image processing techniques are used to differentiate between the normal and the diseased image. The attempt is made to see where the problem actually lies so that proper diagnosis of patient can be done. Early treatment can be conducted from detection of microaneurysms. Microaneurysms are the earliest clinical sign of diabetic retinopathy and they appear as small red spots on retinal images. Early automated microaneurysms detection can help in reducing the incidence of blindness. In this paper, we review and analyze the techniques, algorithms and methodologies used for the detection of microaneurysms from diabetic retinopathy retinal images.

Other Details

Paper ID: NCACCP026
Published in: Conference 8 : NCACC-2016
Publication Date: 01/10/2016
Page(s): 90-95

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