Automated Detection of Conjunctiva Nevus and Choroidal Nevus Using Colour Models and Fundus Mask Generation Technique

Diabetics and eye related diseases are becoming a global cause for eye related problems from infants to the old age persons, eye diseases are more intense in case of diabetics in urban and rural parts. The number of ophthalmologist to the number of raising patient’s ratio suggest that an automated technique needed to screen patients, especially present in remote location or rural areas for fast and accurate diagnose of eye related problems. This includes conjunctiva nevus which is a freckle or mole-like spot around iris and need to be diagnosed before it becomes type of cancer called melanoma, Choroidal nevus which is present inside eye under retinal tissue called the choroid will be of multiple colour and need to be examine before it can become small choroidal melanoma. This paper presents an automatic technique to screen conjunctiva nevus and choroidal nevus for diabetic retinopathy screening by automated mask generation technique.