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 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.