Detection of optic disc boundary based on LDA and medial axis detection

To detect the eye diseases automatically in the retinal fundus image is the rising tool for early analysis of diseases. The manual examination of optic disk (OD) is a standard procedure used for detecting eye diseases. Segmentation in eye imaging provides an important role for calculating the geometric shape and size of optic disc. It automatically and precisely calculates the values of place, position and area of the contour and structural part of the image required by ophthalmologists. The method proposed for locating the most important region of eye - optic disc using an approach based on novel OD method of segmentation. We have a tendency to conjointly propose a completely unique disc segmentation methodology that is predicated on anatomical proof like vessel bends at the disc boundary, thought of relevant by eye disease consultants. Bends in an exceedingly vessel area unit robustly detected employing a region of support concept, that mechanically selects the correct scale for analysis. A multi-stage strategy is used to derive a reliable set of vessel bends known as r-bends followed by a neighborhood spline fitting to derive the required disc boundary.