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Proceedings Paper

Automated grading of venous beading: an algorithm and parallel implementation
Author(s): Zhijiang Shen; Peter H. Gregson; Heng-Da Cheng; V. Kozousek
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Paper Abstract

A consistent, reliable method of quantifying diabetic retinopathy is required, both for patient assessment and eventually for use in screening tests for diabetes. To this end, an algorithm for determining the degree of venous beading in digitized ocular fundus images has been developed. A parallel implementation of the algorithm has also been investigated. The algorithm thresholds the fundus image to extract vein silhouettes. Morphological closing is used to fill any anomolous holes. Thinning is used to determine vein centerlines. Vein diameters are measured normal to the centerlines. A frequency analysis of vein diameter with distance along the centerline is then performed to permit estimation of veinous beading. For the parallel implementation, the binary vein silhouette and the vein centerline are rotated so that vein diameter may be estimated in one direction only. The time complexity of the parallel algorithm is O(N). Algorithm performance is demonstrated with real fundus images. A simulation of the parallel algorithm is used with actual fundus images.

Paper Details

Date Published: 1 November 1991
PDF: 9 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50396
Show Author Affiliations
Zhijiang Shen, Technical Univ. of Nova Scotia (Canada)
Peter H. Gregson, Technical Univ. of Nova Scotia (Canada)
Heng-Da Cheng, Technical Univ. of Nova Scotia (Canada)
V. Kozousek, Dalhousie Univ. (Canada)

Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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