Iris segmentation method of pterygium anterior segment photographed image

Pterygium is an eye disease that commonly affects people living in areas near the equator such as Malaysia, Indonesia etc. and who are expose to excessive wind, sunlight, or sand. It is a form of tissue overgrowth found in the eye. Recently, anterior segment photographed images (ASPIs) have been used for early detection of the disease by incorporating digital image processing (DIP) algorithms techniques which has triggered our interest to investigate such possibilities. As such, this paper reports the early results of iris segmentation of ASPIs that can be used later for pterygium detection. The work involves using the normalized HSV colour space of the iris ASPIs. By using the subtraction method, the iris threshold value was calculated to segment the iris. It is found out that the proposed algorithm can correctly segment the iris with pterygium cases.