Elliptical Local Vessel Density: a Fast and Robust Quality Metric for Fundus Images
Conference
·
OSTI ID:968604
- ORNL
- University of Iowa
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 to the problem of 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 they can be used to estimate the image quality in a time one order of magnitude shorter respect to previous techniques.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE; Work for Others (WFO)
- DOE Contract Number:
- DE-AC05-00OR22725
- OSTI ID:
- 968604
- Resource Relation:
- Conference: IEEE EMBC 2008, Vancouver, Canada, 20080820, 20080824
- Country of Publication:
- United States
- Language:
- English
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