Abstract-This paper proposes an algorithm to measure the width of retinal vessels in fundus photographs using graph-based algorithm to segment both vessel edges simultaneously. First, the simultaneous two-boundary segmentation problem is modeled as a two-slice, 3-D surface segmentation problem, which is further converted into the problem of computing a minimum closed set in a node-weighted graph. An initial segmentation is generated from a vessel probability image. We use the REVIEW database to evaluate diameter measurement performance. The algorithm is robust and estimates the vessel width with subpixel accuracy. The method is used to explore the relationship between the average vessel width and the distance from the optic disc in 600 subjects. Index Terms-Graph-based segmentation, retinal photography, vessel width measurement.
REF introduced amethod to segment the two blood vessel edges in fundus image using the graph-based algorithm to facilitate measuring the diameter of retinal blood vessels.
Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging
Computer Science Medicine