DocumentCode :
3075798
Title :
Elliptical local vessel density: A fast and robust quality metric for retinal images
Author :
Giancardo, L. ; Abràmoff, M.D. ; Chaum, E. ; Karnowski, T.P. ; Meriaudeau, F. ; Tobin, K.W., Jr.
Author_Institution :
European VIBOT program, France
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
3534
Lastpage :
3537
Abstract :
A great effort of the research community is geared towards the creation of an automatic screening system able to promptly detect diabetic retinopathy with the use of fundus cameras. In addition, there are some documented approaches for automatically judging the image quality. We propose a new set of features independent of field of view or resolution to describe the morphology of the patient´s vessels. Our initial results suggest that these features can be used to estimate the image quality in a time one order of magnitude shorter than previous techniques.
Keywords :
Blindness; Cameras; Cities and towns; Diabetes; Diseases; Image quality; Laboratories; Retina; Retinopathy; Robustness; Algorithms; Automatic Data Processing; Automation; Diabetic Retinopathy; Humans; Image Enhancement; Models, Statistical; Optic Disk; Reproducibility of Results; Retina; Retinal Diseases; Retinal Vessels; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Time Factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4649968
Filename :
4649968
Link To Document :
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