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Proceedings Paper

Automated detection of venous beading in retinal images
Author(s): Samuel C. Lee; Yiming Wang; Weining Tan
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Paper Abstract

The purpose of this paper is to present a method for automatic detection of venous beadings in the spatial domain. The method consists of three steps: (1) creating an accurate vein map, (2) creating an accurate vein width map where the width of every vein indicated by a string of numbers, each of which indicates the width of the vein in pixels at that location, and (3) introducing an automatic venous beading detection algorithm. The parameters used in the beading detection algorithm include the widths of the veins at two adjacent local maxima and minima, the difference between the two widths, and the lengths of the broad and narrow sections. The ranges of the values of these parameters were obtained empirically. Standard Photographs 6B were used to test the algorithm and the result was quite satisfactory.

Paper Details

Date Published: 3 July 2001
PDF: 8 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431016
Show Author Affiliations
Samuel C. Lee, Univ. of Oklahoma (United States)
Yiming Wang, Univ. of Oklahoma Health Sciences Ctr. (United States)
Weining Tan, Univ. of Oklahoma (United States)

Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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