Optic Disc Detection and Segmentation in Retinal Fundus Image

Abstract

Segmentation of Optic Disc (OD) is one of the significant steps in automatic Diabetic Retinopathy (DR) detecting. Thus, DR detecting needs to eliminate the OD pixels. In this paper, a new technique is presented for OD segmentation that depends on the histogram template matching algorithm and OD size. The template matching algorithm is used for finding the center of the OD. In this step, the histogram of each RGB (Red, Green, and Blue) planes is found and then the cross-correlation is found between the template and the original image, OD location is the point with maximum cross-correlation between them. The OD size varies according to the camera field of sight and the resolution of the original image. The rectangle size of OD is not the same for various databases, the estimated size for the DRIVE, STARE, DIARTDB0, and DIARTDB1 are 80×80, 140×140, 190×190, and 190×190 respectively. After finding the OD center and rectangle size of OD, a binary mask is created with Region of Interest (ROI) for segmenting the OD. The DIARTDB0, DIARTDB1 and DRIVE are used to evaluate the proposed technique, the result was robust and vital with an accuracy of 96%, 98% and 98% respectively.