A Stand-alone MATLAB Application for the Detection of Optic Disc and Macula

Glaucoma and Diabetic Retinopathy are the leading common cause of vision loss. Optic Disc and macula are the important landmark for the detection of these retinal pathology. Even though, the manual screening of Optic Disc and macula are available, they consume more time and have more human error. Therefore, there is a need of an automated application for the reliable and efficient localization of OD and macula. This paper presents a novel and fast stand-alone MATLAB application for the segmentation of these anatomical structures. This application uses colour K-means segmentation for locating macula and for detecting Optic Disc, bilateral filtering followed by Morphological operation is used. The application were evaluated on 135 glaucomatous images collected from local eye hospital and 200 diabetic retinopathy images from DIARETDB1 and DRIVE database. This stand-alone application consumes an average computation time of 13s for macula localization and 32s for OD segmentation with a success rate of 98%. Overall, the proposed application obtain an efficient result in the segmentation of both OD and macula, which in turn helps to detect glaucoma and Diabetic Retinopathy.