Title | ||
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Retinal vessel width measurement at branching points using an improved electric field theory-based graph approach |
Abstract | ||
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An accurate and fully automatic method to measure the vessel width at branching points in fundus images is presented. This method is a graph-based method, in which an electric field theory based graph construction method is applied to specifically deal with the complicated branching patterns. The vessel centerline image is used as the initial segmentation. The branching points are detected on the vessel centerline image using a series of detection kernels. Crossing points are distinguished from branching points and excluded in this study. Electric field theory motivated graph construction method is applied to construct the graph, inspired by the non-intersecting property of the electric line of force. Of the three branches in a branching unit, the one closest to the optic disc is automatically detected as the parent branch and the other two are regarded as the daughter branches. The location of the optic disc is automatically detected based on a machine learning technique. The method was validated on a set of 50 fundus images. |
Year | DOI | Venue |
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2012 | 10.1117/12.911831 | Proceedings of SPIE |
Keywords | DocType | Volume |
Image processing,fundus photography,retinal vessel,branching,graph search | Conference | 8314 |
ISSN | Citations | PageRank |
0277-786X | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiayu Xu | 1 | 88 | 7.17 |
M. D. Abràmoff | 2 | 161 | 15.88 |
geir bertelsen | 3 | 0 | 0.34 |
J. M. Reinhardt | 4 | 782 | 71.98 |