DocumentCode
617461
Title
Spline-based refinement of vessel contours in fundus retinal images for width estimation
Author
Cavinato, Alessandro ; Ballerini, L. ; Trucco, Emanuele ; Grisan, E.
Author_Institution
Sch. of Comput., Univ. of Dundee, Dundee, UK
fYear
2013
fDate
7-11 April 2013
Firstpage
872
Lastpage
875
Abstract
This paper presents a novel algorithm for refining the vessel contours obtained from retinal binary vessel maps. The refinement improves vessel width estimation. Our approach is based on fitting the two contours of each vessel in the binary map with a cubic spline curve, introducing a parallelism constraint between the two splines. The algorithm, evaluated on the REVIEW database, has a comparable accuracy to that of specialized, sophisticated width estimation algorithms.
Keywords
blood vessels; eye; image enhancement; medical image processing; splines (mathematics); REVIEW database; binary map; cubic spline curve; fundus retinal images; parallelism constraint; retinal binary vessel map; spline-based refinement; vessel contour refinement; vessel width estimation; width estimation algorithm; Image segmentation; Observers; Retinal vessels; Splines (mathematics); Standards; Retinal images; spline interpolation; vessel width;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location
San Francisco, CA
ISSN
1945-7928
Print_ISBN
978-1-4673-6456-0
Type
conf
DOI
10.1109/ISBI.2013.6556614
Filename
6556614
Link To Document