Study of contour detection methods as applied on optic nerve's images for glaucoma diagnosis

Lately, medical imaging has evolved as it represents an essential support for the patients' diagnosis and monitoring. Early recognition of diseases such as “Glaucoma” is fundamental to the assumption. Indeed, the earlier the treatment is instituted, the better the chances of success are. Since the shape of the optic nerve's excavation is the most important feature in its identification, correct detection techniques are necessary to highlight their forms. This paper presents a comparative study of different edge detection's methods applied on a set of ophthalmologic images of the optic nerve.