Here the process and knowledge of image processing is applied to diagnose Diabetic retinopathy from images of retina. Here Content Base Image Retrieval (CBIR) method is used. Content-based image retrieval method said physicians in the early Detection of diabetic retinopathy for preventing blindness. A content based image retrieval System allows the user to presents query image in order to retrieve images stored in the Database according to their similarity to the query image. A CBIR frame work will be Developed based on feature extraction method for diagnosis of diabetic retinopathy. Wavelet transform and dual tree complex wavelet transform is used for feature extraction of fundus image, for matching Euclidean distance will be calculated between the query image and the database and which will be having minimum Euclidean Distance will be the best match for query image and the retrieved images will be ranked.

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Dwt Diabetic Retinopathy Image Database Image Processing Messidor.