Abstract
ABSTRACTThe presence of microaneurysms (MAs) is usually the early sign of diabetic retinopathy (DR) disease. In this study, an effective contrast enhancement scheme has been incorporated with a diabetic screening system to improve the overall quality of MAs identification technique. The proposed scheme is compared with the existing retinal image contrast enhancement methods and a better result is established. Public datasets and also low-contrast noisy images collected from hospitals are used for MA's detection, and satisfactory results are found. The results on low-contrast noisy image diagnosis established the significance of the study. A total of 587 (training = 340, testing = 247) retinal images are examined. The mean sensitivity and specificity are scored as 95.94% and 99.21%, respectively. The value of AUC is 0.932 (SD = 0.013) from the ROC analysis.
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