Chaudhuri, S. ; Chatterjee, S. ; Katz, N. ; Nelson, M. ; Goldbaum, M. (1989) Detection of blood vessels in retinal images using two-dimensional matched filters IEEE Transactions on Medical Imaging, 8 (3). pp. 263-269. ISSN 0278-0062
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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...
Related URL: http://dx.doi.org/10.1109/42.34715
Abstract
Blood vessels usually have poor local contrast, and the application of existing edge detection algorithms yield results which are not satisfactory. An operator for feature extraction based on the optical and spatial properties of objects to be recognized is introduced. The gray-level profile of the cross section of a blood vessel is approximated by a Gaussian-shaped curve. The concept of matched filter detection of signals is used to detect piecewise linear segments of blood vessels in these images. Twelve different templates that are used to search for vessel segments along all possible directions are constructed. Various issues related to the implementation of these matched filters are discussed. The results are compared to those obtained with other methods.
Item Type: | Article |
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Source: | Copyright of this article belongs to Institute of Electrical and Electronic Engineers. |
ID Code: | 7783 |
Deposited On: | 25 Oct 2010 10:27 |
Last Modified: | 16 May 2016 17:54 |
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