Retinal blood vessel segmentation using geodesic voting methods
Cohen, Laurent D.; Rouchdy, Youssef (2012), Retinal blood vessel segmentation using geodesic voting methods, 9th International Symposium on Biomedical Imaging (ISBI), 2012 IEEE, IEEE, p. 4. http://dx.doi.org/10.1109/ISBI.2012.6235655
TypeCommunication / Conférence
Conference titleISBI 2012
Book title9th International Symposium on Biomedical Imaging (ISBI), 2012 IEEE
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Abstract (EN)Methods to segment retinal blood vessels are presented. Many authors have used minimal cost paths, or similarly geodesics relative to a weight potential P , to ﬁnd a vessel pathway between two end points. We focus on the use of a set of such geodesic paths to extract retinal blood vessels, using minimal interaction. The approach consists in com- puting geodesics from a set of end points scattered in the image in such way that there is a high geodesic density on the vessels. This geodesic density is used to approximate the centerlines and walls of the vessels. The methods were applied to segment blood vessels from images of the retina.
Subjects / Keywordsretinal blood vessel segmentation; tree structure segmentation; minimal paths; Fast Marching; Geodesic voting
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