Optic Disc and Cup Segmentation from Color Fundus Photograph Using Graph Cut with Priors
For automatic segmentation of optic disc and cup from color fundus photograph, we describe a fairly general energy function that can naturally fit into a global optimization framework with graph cut. Distinguished from most previous work, our energy function includes priors on the shape & location of disc & cup, the rim thickness and the geometric interaction of “disc contains cup”. These priors together with the effective optimization of graph cut enable our algorithm to generate reliable and robust solutions. Our approach is able to outperform several state-of-the-art segmentation methods, as shown by a set of experimental comparisons with manual delineations and a series of results of correlations with the assessments of a merchant-provided software from Optical Coherence Tomography (OCT) regarding several cup and disc parameters.
KeywordsOptical Coherence Tomography Optic Disc Optic Nerve Head Active Contour Model Smoothness Term
- 1.Greaney, M.J., Hoffman, D.C., Garway-Heath, D.F., Nakla, M., Coleman, A.L., Caprioli, J.: Comparison of optic nerve imaging methods to distinguish normal eyes from those with glaucoma. Invest Ophthalmol Vis. Sci. 43, 140–145 (2002)Google Scholar
- 5.Liu, J., Wong, D., Lim, J., Li, H., Tan, N., Zhang, Z., Wong, T., Lavanya, R.: Argali: an automatic cup-to-disc ratio measurement system for glaucoma analysis using level-set image processing. In: Lim, C.T., Goh, J.C.H. (eds.) ICBME 2008, Proceedings, vol. 23, pp. 559–562. Springer (2009)Google Scholar
- 6.Yu, H., Barriga, E., Agurto, C., Echegaray, S., Pattichis, M., Bauman, W., Soliz, P.: Fast localization and segmentation of optic disk in retinal images using directional matched filtering and level sets. IEEE Transactions on Information Technology in Biomedicine 16(4), 644–657 (2012)CrossRefGoogle Scholar