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BioMed Research International
Volume 2015, Article ID 137024, 11 pages
Research Article

Segmentation of Retinal Blood Vessels Based on Cake Filter

School of Information Science and Engineering Northeastern University, Shenyang, Liaoning 110819, China

Received 28 April 2015; Accepted 15 September 2015

Academic Editor: Atsushi Mizota

Copyright © 2015 Xi-Rong Bao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Segmentation of retinal blood vessels is significant to diagnosis and evaluation of ocular diseases like glaucoma and systemic diseases such as diabetes and hypertension. The retinal blood vessel segmentation for small and low contrast vessels is still a challenging problem. To solve this problem, a new method based on cake filter is proposed. Firstly, a quadrature filter band called cake filter band is made up in Fourier field. Then the real component fusion is used to separate the blood vessel from the background. Finally, the blood vessel network is got by a self-adaption threshold. The experiments implemented on the STARE database indicate that the new method has a better performance than the traditional ones on the small vessels extraction, average accuracy rate, and true and false positive rate.