期刊
INVERSE PROBLEMS AND IMAGING
卷 8, 期 2, 页码 459-473出版社
AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/ipi.2014.8.459
关键词
Retinal vessel segmentation; binary level set method; operator-splitting
资金
- National Natural Science Foundation of China [31302182, 61271406]
- National High-Tech RD Program ( 863 Program) [2012AA10A412]
- Chinese Scholarship Council and Fundamental Research Funds for the Central Universities [201362034, 201313003]
- Leverhulme research fellowship [RF/9/REG/2009/0507]
- University of Science and Technology Beijing research grant [06108038]
In this paper we combine a few techniques to label blood vessels in the matched filter (MF) response image by using a finite element based binary level set method. An operator-splitting method is applied to numerically solve the Euler-Lagrange equation from minimizing an energy functional. Unlike the traditional MF methods, where a threshold is difficult to be selected, our method can automatically get more precise blood vessel segmentation using an enhanced edge information. In order to demonstrate the good performance, we compare our method with a few other methods when they are applied to a publicly available standard database of coloured images (with manual segmentations available too).
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