There are several ways for analysing the diabetic ratinopathy. In this research the diabetic ratinopathy analysis using techniques using SVM & LDA and result are quality based. This thesis proposed a work where take an input image and make pre-processing then applying image segmentation. After the image segmentation extracts the features where use the techniques SVM and LDA for analysis of diabetic retinopathy then post processing of an image provides final result.
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Diabetic Ratinopathy Analysis, Feature Extraction, Segmentation, Fundus Images, Retina, SVM and LDA.