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Human eye is one of the important organs in human body, with iris, pupil, sclera, cornea, lens, retina and optic nerve. Many important eye diseases as well as systemic diseases manifest themselves in the retina. The most widespread causes of blindness in the industrialized world are glaucoma, Age Related Macular Degeneration (ARMD), Diabetic Retinopathy (DR) and Diabetic Macula Edema (DME). The development of a retinal image analysis system is a demanding research topic for early detection, progression analysis and diagnosis of eye diseases. The objective of the research work is to diagnose a retinal disease that leads to major blindness using fundus images. The main objectives of a retinal image analysis system are ¿ To analyze retinal images and to identify abnormalities in them. ¿ To locate and segment structural indicators of eye diseases. ¿ To develop an automated screening system to diagnose eye diseases earlier. ¿ To develop novel segmentation and classification methods that overcome the inefficiencies of other existing techniques in detecting abnormalities.