Elliptical local vessel density

a fast and robust quality metric for retinal images.

L. Giancardo, M. D. Abramoff, E. Chaum, T. P. Karnowski, F. Meriaudeau, K. W. Tobin

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)3534-3537
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - 2008
Externally publishedYes

Fingerprint

Diabetic Retinopathy
Image quality
Research
Screening
Cameras

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Elliptical local vessel density : a fast and robust quality metric for retinal images. / Giancardo, L.; Abramoff, M. D.; Chaum, E.; Karnowski, T. P.; Meriaudeau, F.; Tobin, K. W.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2008, p. 3534-3537.

Research output: Contribution to journalArticle

Giancardo, L. ; Abramoff, M. D. ; Chaum, E. ; Karnowski, T. P. ; Meriaudeau, F. ; Tobin, K. W. / Elliptical local vessel density : a fast and robust quality metric for retinal images. In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2008 ; pp. 3534-3537.
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