Automated detection of Optic Disc for the analysis of retina using color fundus image

Optic Disc (OD) behaves as a landmark in a fundus image for the localization of other major parts of the eye like macula region, fovea and the network of blood vessels. OD can be seen as a quite distinct bright region in a colored fundus image. In our proposed method the high intensity value of the optic disc is used for its detection. First the optic disc is detected by applying preprocessing steps for enhancement like Contrast-Limited Adaptive Histogram Equalization (CLAHE), contrast stretching transformation and extended minima transformation. OD free image is obtained by applying morphological opening and closing operations on the preprocessed image. A sensitivity, specificity and accuracy of 100%, 98.25% and 98.65% is achieved respectively on 1200 images from publically available database MESSIDOR. Compared with state of the art, the proposed technique has reasonable accuracy using less computing power and processing time.