This paper presents the determination of severity grading of the diabetic retina to avoid permanent blindness. This paper analyses the retinal image by converting it to a grey scale image. This is the initial process done before segmenting the image. Segmenting the image involves histogram equalization and a special filter. The background of the fundus image is considered for segmenting the optic disc(OD) and vasculature and the foreground region is considered for bright and red lesions. Lesion classification involves PNN(Probabilistic Neural Network) classifier which combines the feature of GMM(Gaussian Mixture Model) and kNN(k-Nearest Neighbor). This classification produces a filtered image enhanced with red circles in red lesions and blue circles in bright lesions. Severity grading is determined by using the red and bright lesion count.
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