Author:
Dehghani Amin,Moghaddam Hamid Abrishami,Moin Mohammad-Shahram
Abstract
Abstract
In this article, we propose a new method for localizing optic disc in retinal images. Localizing the optic disc and its center is the first step of most vessel segmentation, disease diagnostic, and retinal recognition algorithms. We use optic disc of the first four retinal images in DRIVE dataset to extract the histograms of each color component. Then, we calculate the average of histograms for each color as template for localizing the center of optic disc. The DRIVE, STARE, and a local dataset including 273 retinal images are used to evaluate the proposed algorithm. The success rate was 100, 91.36, and 98.9%, respectively.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Information Systems,Signal Processing
Reference29 articles.
1. Kumari VV, Suriyanarayanan N: Blood vessel extraction using wiener filter and morphological operation. Int. J. Comput. Sci. Emerg. Technol. 2010, 1(4):7-10.
2. Farzin H, Abrishami Moghaddam H, Moin M-S: A novel retinal identification system. EURASIP J. Adv. Signal Process 2008, 2008: Article ID 280635. 10.1155/2008/280635
3. Ortega M, Penedo MG, Rouco J, Barreira N, Carreira MJ: Retinal verification using a feature points-based biometric pattern. EURASIP J. Adv. Signal Process 2009, 2009: Article ID 235746. 10.1155/2009/235746
4. Jiang Y, Bainbridge-Smith A, Morris AB: Blood vessel tracking in retinal images. Proceedings of Image and Vision Computing 2007, 126-131.
5. Abdel-Ghafar R, Morris T, Ritchings T, Wood I: Detection and characterisation of the optic disk in glaucoma and diabetic retinopathy. Proceedings of Medical Image Understanding and Analysis 2004.
Cited by
62 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献