Robust optic disc location via combination of weak detectors.

Adria Perez-Rovira, Emanuele Trucco

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    20 Citations (Scopus)

    Abstract

    This paper presents a new robust approach for the automatic location of the optic disc. We detect several candidates independently for optic disc, macula and the main blood vessels (arcades). Candidates are sorted by reliability. The space of all possible triplets disc-macula-arcades is searched using a-priori anatomical knowledge, selecting the triplet formed by the most reliable candidates satisfying anatomical constraints best. This triplet includes the best optic disc location. The approach was tested using the well-known STARE data set (81 images: 31 healthy retinas and 50 containing pathological lesions of various types and severity) and 20 wide-field-of-view scanning laser ophthalmoscope (SLO) images acquired with an OPTOS instrument. We achieved 91.4% detection rate in the STARE data set and 100% in the OPTOS data set.
    Original languageEnglish
    Title of host publication30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
    Place of PublicationNEW YORK
    PublisherIEEE Computer Society
    Pages3542-3545
    Number of pages4
    Volume2008
    ISBN (Print)978-1-4244-1814-5
    DOIs
    Publication statusPublished - 2008
    Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Vancouver, Canada
    Duration: 20 Aug 200825 Aug 2008

    Conference

    Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    CountryCanada
    CityVancouver
    Period20/08/0825/08/08

    Keywords

    • RETINAL IMAGES
    • BLOOD-VESSELS

    Cite this

    Perez-Rovira, A., & Trucco, E. (2008). Robust optic disc location via combination of weak detectors. In 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008 (Vol. 2008, pp. 3542-3545). IEEE Computer Society. https://doi.org/10.1109/IEMBS.2008.4649970