An enhancive Watershed transformation approach to segment Optic Disk from Smartphone Fundus Images

In order to build a PC-assisted device for eye diseases, automatic optic disc (OD) detection plays a very important role. Face condition testing is a limiting factor. Optic Disk detection belongs to a supervised approach. The suggested approach uses the fundus image’s edge information to locate the Optic Disk and identify the presence of abnormality such as a cancer. The Sobel edge detector uses the watershed algorithm to collect edge information and segmentation. Then the Hough circle transformation is performed to approximate the Optic Disk boundary by a circle.