Name
Abstract | ||
|---|---|---|
A reliable and accurate method to measure the width of retinal blood vessel in fundus photography is proposed in this paper. Our approach is based on a graph-theoretic algorithm. The two boundaries of the same blood vessel are segmented simultaneously by converting the two-boundary segmentation problem into a two-slice, three-dimension 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. Two datasets from the REVIEW database were used to assess the performance of proposed method. This algorithm is robust and is able to produce accurate measurements. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISBI.2011.5872488 | ISBI |
Keywords | Field | DocType |
eye,blood vessel boundary segmentation,two slice 3d surface segmentation problem,vessel width measurement,vessel probability image,minimum closed set,biomedical optical imaging,review database,blood vessels,image segmentation,photography,two boundary segmentation problem,graph-based segmentation,retinal photography,retinal vessel width measurement,fundus photography,graph theory,graph theoretic method,spatial variables measurement,node weighted graph,medical image processing,biomedical imaging,pixel | Graph theory,Computer vision,Scale-space segmentation,Pattern recognition,Medical imaging,Computer science,Segmentation,Image segmentation,Closed set,Photography,Artificial intelligence,Pixel | Conference |
ISSN | ISBN | Citations |
1945-7928 E-ISBN : 978-1-4244-4128-0 | 978-1-4244-4128-0 | 4 |
PageRank | References | Authors |
0.49 | 8 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiayu Xu | 1 | 88 | 7.17 |
| meindert niemeijer | 2 | 1894 | 104.32 |
| Qi Song | 3 | 37 | 4.11 |
| Mona K Garvin | 4 | 272 | 17.51 |
| J. M. Reinhardt | 5 | 782 | 71.98 |
| Michael D Abràmoff | 6 | 1734 | 104.74 |