the localization of the Optical Disc (OD) in retinal image is the important tasks in automatic eye disease screening. In this paper, a fast-fully automatic OD localization and segmentation was developed for retinal disease screening. At first, OD location candidates are identified using template matching. The template is designed to adapt to different image resolutions. Then the vessel pattern on the retina image is used to determine the OD location. Here we introduce directional matching and levelset based OD localization. This paper presents a new, fast, and fully automatic OD localization and segmentation algorithm developed for retinal disease screening. First, OD location candidates are identified using template matching. The template is designed to adapt to different image resolutions. Then, vessel characteristics (patterns) on the OD are used to determine OD location. Initialized by the detected OD center and estimated OD radius, a fast, hybrid levelset model, which combines region and local gradient information, is applied to the segmentation of the disk boundary. Morphological filtering is used to remove blood vessels and bright regions other than the OD that affect segmentation in the peripapillary region.