Automatic Optic Disc and Fovea Detection in Retinal Images Using Super-Elliptical Convergence Index Filters
- 2.2k Downloads
This paper presents an automatic optic disc (OD) and fovea detection technique using an innovative super-elliptical filter (SEF). This filter is suitable for the detection of semi-elliptical convex shapes and as such it performs well for the OD localization. Furthermore, we introduce a setup for the simultaneous localization of the OD and fovea, in which the detection result of one landmark facilitates the detection of the other one. The evaluation is performed on 1200 images of the MESSIDOR dataset containing both normal and pathological cases of diabetic retinopathy (DR) and macular edema (ME). The proposed approach achieves success rates of 99.75 % and 98.87 % for the OD and fovea detection, respectively and outperforms or equals all known similar methods.
KeywordsRetina Fovea Optic disc Convergence index filter Diabetic retinopathy
The work is part of the Hé Programme of Innovation Cooperation, which is financed by the Netherlands Organization for Scientific Research (NWO), dossier No. 629.001.003.
- 1.MESSIDOR: Methods for Evaluating Segmentation and Indexing techniques Dedicated to Retinal Ophthalmology (2004). http://messidor.crihan.fr
- 2.Expert system for early automated detection of DR by analysis of digital retinal images project website (2012). http://www.uhu.es/retinopathy/muestras2.php
- 4.Aquino, A., Gegundez, M.E., Marin, D.: Automated optic disc detection in retinal images of patients with diabetic retinopathy and risk of macular edema. Int. J. Biol. Life Sci. 8(2), 87–92 (2012)Google Scholar
- 5.Bekkers, E., Duits, R., Romeny, B.H.: Optic nerve head detection via group correlations in multi-orientation transforms. In: Campilho, A., Kamel, M. (eds.) ICIAR 2014, Part II. LNCS, vol. 8815, pp. 293–302. Springer, Heidelberg (2014)Google Scholar
- 19.Wei, J., Hagihara, Y., Kobatake, H.: Detection of cancerous tumors on chest x-ray images-candidate detection filter and its evaluation. In: IEEE International Conference on Image Processing, vol. 3, pp. 397–401 (1999)Google Scholar
- 21.Yu, H., Barriga, S., Agurto, C., Echegaray, S., Pattichis, M., Zamora, G., Bauman, W., Soliz, P.: Fast localization of optic disc and fovea in retinal images for eye disease screening. In: SPIE Medical Imaging, p. 796317. International Society for Optics and Photonics (2011)Google Scholar