Affiliation of Author(s):电子信息工程学院

Journal:Lect. Notes Comput. Sci.

Abstract:In order to realize the localization of optic disc (OD) effectively, a new end-to-end approach based on CNN was proposed in this paper. CNN is a revolutionary network structure which has shown its power in fields of computer vision like classification, object detection and segmentation. We intend to make use of CNN in the study of fundus images. Firstly, we use a basic CNN on which specialized layers are trained to find the pixels probably in OD region. Then we sort out candidate pixels furtherly via threshold. By calculating the center of gravity of these pixels, the location of OD is finally determined. The method has been tested on three databases including ORIGA, MESSIDOR and STARE. In totally 1240 images to be tested, the OD of 1193 are successfully located with the rate of 96.2%. Besides the accuracy, the time cost is another advantage. It takes only 0.93 s to test one image on average in STARE and 0.51 s in MESSIDOR. © Springer International Publishing AG 2017.

ISSN No.:0302-9743

Translation or Not:no

Date of Publication:2017-01-01

Co-author:Xu, Peiyuan,Cheng, Jun,Niu, Di,Liu, Jiang

Correspondence Author:Wan Cheng