Journal
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Volume 2013, Issue -, Pages -Publisher
HINDAWI LTD
DOI: 10.1155/2013/927285
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Funding
- Natural Science Foundation of Jiangsu Province [BK2011331]
- National Science Foundation of China [61201117]
- Special Funded Program on National Key Scientific Instruments and Equipment Development [2011YQ040082]
- 2nd Phase Major Project of Suzhou Institute of Biomedical Engineering and Technology [Y053011305]
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We propose a new method to enhance and extract the retinal vessels. First, we employ a multiscale Hessian-based filter to compute the maximum response of vessel likeness function for each pixel. By this step, blood vessels of different widths are significantly enhanced. Then, we adopt a nonlocal mean filter to suppress the noise of enhanced image and maintain the vessel information at the same time. After that, a radial gradient symmetry transformation is adopted to suppress the nonvessel structures. Finally, an accurate graph-cut segmentation step is performed using the result of previous symmetry transformation as an initial. We test the proposed approach on the publicly available databases: DRIVE. The experimental results show that our method is quite effective.
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