21 March 2016 Simultaneous macula detection and optic disc boundary segmentation in retinal fundus images
Author Affiliations +
Abstract
The optic disc (OD) and the macula are important structures in automatic diagnosis of most retinal diseases inducing vision defects such as glaucoma, diabetic or hypertensive retinopathy and age-related macular degeneration. We propose a new method to detect simultaneously the macula and the OD boundary. First, the color fundus images are processed to compute several maps highlighting the different anatomical structures such as vessels, the macula and the OD. Then, macula candidates and OD candidates are found simultaneously and independently using seed detectors identified on the corresponding maps. After selecting a set of macula/OD pairs, the top candidates are sent to the OD segmentation method. The segmentation method is based on local K-means applied to color coordinates in polar space followed by a polynomial fitting regularization step. Pair scores are updated, resulting in the final best macula/OD pair. The method was evaluated on two public image databases: ONHSD and MESSIDOR. The results show an overlapping area of 0.84 on ONHSD and 0.90 on MESSIDOR, which is better than recent state of the art methods. Our segmentation method is robust to contrast and illumination problems and outputs the exact boundary of the OD, not just a circular or elliptical model. The macula detection has an accuracy of 94%, which again outperforms other macula detection methods. This shows that combining the OD and macula detections improves the overall accuracy. The computation time for the whole process is 6.4 seconds, which is faster than other methods in the literature.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fantin Girard, Fantin Girard, Conrad Kavalec, Conrad Kavalec, Sébastien Grenier, Sébastien Grenier, Houssem Ben Tahar, Houssem Ben Tahar, Farida Cheriet, Farida Cheriet, "Simultaneous macula detection and optic disc boundary segmentation in retinal fundus images", Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97841F (21 March 2016); doi: 10.1117/12.2216397; https://doi.org/10.1117/12.2216397
PROCEEDINGS
9 PAGES


SHARE
Back to Top