Automated grading of venous beading: an algorithm and parallel implementation

Zhijiang Shen; Peter H. Gregson; Heng-Da Cheng; V. Kozousek

doi:10.1117/12.50396

1 November 1991 Automated grading of venous beading: an algorithm and parallel implementation

Zhijiang Shen, Peter H. Gregson, Heng-Da Cheng, V. Kozousek

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50396
Event: Visual Communications, '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Zhijiang Shen, Peter H. Gregson, Heng-Da Cheng, and V. Kozousek "Automated grading of venous beading: an algorithm and parallel implementation", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50396

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