Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/109745
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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