Segmentation of Retinal Blood Vessels Based on Cake Filter
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...
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| Format: | Online |
| Language: | English |
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Hindawi Publishing Corporation
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4655269/ |
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pubmed-46552692015-12-03 Segmentation of Retinal Blood Vessels Based on Cake Filter Bao, Xi-Rong Ge, Xin She, Li-Huang Zhang, Shi Research Article 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. Hindawi Publishing Corporation 2015 2015-11-09 /pmc/articles/PMC4655269/ /pubmed/26636095 http://dx.doi.org/10.1155/2015/137024 Text en Copyright © 2015 Xi-Rong Bao et al. https://creativecommons.org/licenses/by/3.0/ 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. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Bao, Xi-Rong Ge, Xin She, Li-Huang Zhang, Shi |
| spellingShingle |
Bao, Xi-Rong Ge, Xin She, Li-Huang Zhang, Shi Segmentation of Retinal Blood Vessels Based on Cake Filter |
| author_facet |
Bao, Xi-Rong Ge, Xin She, Li-Huang Zhang, Shi |
| author_sort |
Bao, Xi-Rong |
| title |
Segmentation of Retinal Blood Vessels Based on Cake Filter |
| title_short |
Segmentation of Retinal Blood Vessels Based on Cake Filter |
| title_full |
Segmentation of Retinal Blood Vessels Based on Cake Filter |
| title_fullStr |
Segmentation of Retinal Blood Vessels Based on Cake Filter |
| title_full_unstemmed |
Segmentation of Retinal Blood Vessels Based on Cake Filter |
| title_sort |
segmentation of retinal blood vessels based on cake filter |
| description |
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. |
| publisher |
Hindawi Publishing Corporation |
| publishDate |
2015 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4655269/ |
| _version_ |
1613504711646773248 |