Retinal Images for Diagnosis of Eye Diseases by Feature Extraction

Human eye is one of the important organs in human body, with iris,pupil, sclera, cornea, lens, retina and optic nerve. Many important eyediseases as well as systemic diseases manifest themselves in the retina. Themost widespread causes of blindness in the industrialized world are glaucoma,Age Related Macular Degeneration (ARMD), Diabetic Retinopathy (DR) andDiabetic Macula Edema (DME). The development of a retinal image analysissystem is a demanding research topic for early detection, progression analysisand diagnosis of eye diseases.The objective of the research work is to diagnose a retinal diseasethat leads to major blindness using fundus images. The main objectives of aretinal 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 eyediseases earlier. To develop novel segmentation and classification methods thatovercome the inefficiencies of other existing techniques indetecting abnormalities.