Performance evaluation of techniques for retinal abnormality detection

Systemic diseases like hypertension, diabetes and vascular disorders will affect the retinal vessels. Whenever affected with these kinds of diseases the retinal vessels show some sort of vascular variations according to the severity of the conditions. So in order to diagnose these diseases an efficient system that can detect the retinal abnormalities is required. For identifying the variations in retinal vessel caliber, AVR ratio is calculated. This paper presents a performance evaluation of various automatic retinal vessel classification systems and exudate identification system. The retinal vessel classification and caliber estimation can be done by exploiting either visual or geometric features that enable discrimination between vein and arteries.