Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2007.4379885
Title: Segmentation of retinal vessels using nonlinear projections
Authors: Zhang, Y. 
Hsu, W. 
Lee, M.L. 
Keywords: Image decomposition
Nonlinear orthogonal projection
Parameter selection
Retinal imaging
Vessel segmentation
Issue Date: 2006
Source: Zhang, Y.,Hsu, W.,Lee, M.L. (2006). Segmentation of retinal vessels using nonlinear projections. Proceedings - International Conference on Image Processing, ICIP 5 : V541-V544. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2007.4379885
Abstract: An automated method for blood vessel segmentation is presented in this paper. The approach uses the nonlinear orthogonal projection to capture the features of vessel networks, and derives a novel local adaptive thresholding algorithm for vessel detection. By embedding in a kind of image decomposition model, the selection of system parameter which reflects the size of concerned convex set is examined. This approach differs from previously known methods in that it uses matched filtering, vessel tracking or supervised methods. The algorithm was tested on two publicly available databases: the DRIVE and the STARE. By comparison with hand-labeled ground truth, good average accuracies are achieved for the both databases. © 2007 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/40767
ISBN: 1424414377
ISSN: 15224880
DOI: 10.1109/ICIP.2007.4379885
Appears in Collections:Staff Publications

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