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Title: | A new and efficient vessel segmentation method from color retinal images | Authors: | Bhuiyan, A. Kawasaki, R. Lamoureux, E. Ramamohanarao, K. Wong, T.Y. |
Keywords: | Canny edge detection Edge profiling Gaussian smoothing Region growing technique Retinal image Vessel segmentation |
Issue Date: | 2011 | Citation: | Bhuiyan, A.,Kawasaki, R.,Lamoureux, E.,Ramamohanarao, K.,Wong, T.Y. (2011). A new and efficient vessel segmentation method from color retinal images. BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing : 467-471. ScholarBank@NUS Repository. | Abstract: | Retinal blood vessel changes (e.g., vessel caliber) are important indicators for earlier diagnosis of cardiovascular diseases. To quantify the changes automatically, a reliable vessel detection is essential. However, blood vessel detection in retinal image is complicated by a huge variation in a number of factors such as local contrast, vessel width and vessel central reflex. In this paper, we propose a new technique to detect retinal blood vessels which is able to address these issues. The core of the technique is a new vessel edge selection method which combines the method of finding edge pattern and edge profiling techniques. Experimental results show that 92.40% success rate in the identification of vessel start-points and 88.73% success rate in tracking the major vessels. | Source Title: | BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing | URI: | http://scholarbank.nus.edu.sg/handle/10635/109745 | ISBN: | 9789898425355 |
Appears in Collections: | Staff Publications |
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