Diabetic retinopathy is the leading cause of blindness in the western working age population and micro aneurysms are one of the first pathologies associated with diabetic retinopathy. Diabetic retinopathy (DR) is caused by damage to the blood vessels of the retina which affects the vision. But when DR becomes severe it results into macular edema. Macula is the region near the centre of the eye that provides the vision. Blood vessels leak fluid onto the macula leading to the swelling which blurs the vision eventually leading to complete loss of vision. This paper is based on the detection of the edema affected image from the normal image. If the image is edema affected it also states its severity of the disease using a rotational asymmetry metric by examining the symmetry of the macular region. Diabetic macular edema (DME) is an advanced symptom of diabetic retinopathy and can lead to irreversible vision loss. A feature extraction technique is introduced to capture the global characteristics of the fundus images and discriminate the normal from DME images.
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