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International Journal of Innovative Research and Development, Vol 2, No 4 (2013), Pagination: 570-581
Abstract
Diabetic retinopathy is a complication of diabetes that is caused by changes in the blood vessels of the retina. Diabetic retinopathy is a major cause of blindness. Earliest signs of diabetic retinopathy are damage to blood vessels in the eye and then the formation of lesions in the retina. This paper presents an automated method for the detection of exudates in retinal images with high accuracy. First, the image is converted to HSI model. After pre processing possible regions containing exudates using gray scale morphology are identified. Then descriptors for each candidate pixel to classify them are extracted. Using Naive-Bayes classifier, Diabetic retinopathy is classified.
Keywords
Diabetic Retinopathy, Retinal Image, Exudates, Morphology, Pre Processing
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