Automated detection of venous beading in retinal images

Samuel C. Lee; Yiming Wang; Weining Tan

doi:10.1117/12.431016

3 July 2001 Automated detection of venous beading in retinal images

Samuel C. Lee, Yiming Wang, Weining Tan

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431016
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

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.

Citation Download Citation

Samuel C. Lee, Yiming Wang, and Weining Tan "Automated detection of venous beading in retinal images", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431016

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