Abstract
Retinal diseases are causing alteration of the visual perception leading sometimes to blindness. For this reason early detection and diagnosis of retinal pathologies is very important. Using digital image processing techniques, retinal images may be analyzed quickly and computer-assisted diagnosis systems may be developed in order to help the ophthalmologists to make a diagnose. This paper describes the method using BV norm for classification of vasculitis fundus angiography. We propose a method to help ophthalmologists for the diagnosis of such autoimmune disease. Our study aimed to determine potential angiography details in intermediate uveitis helping to diagnose multiple sclerosis (MS).
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