Spline-based refinement of vessel contours in fundus retinal images for width estimation

Alessandro Cavinato, Lucia Ballerini, Emanuele Trucco, Enrico Grisan

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

    7 Citations (Scopus)

    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.
    Original languageEnglish
    Title of host publicationProceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013))
    Subtitle of host publicationfrom nano to macro
    PublisherIEEE
    Pages872-875
    Number of pages4
    ISBN (Print)9781467364560
    DOIs
    Publication statusPublished - 2013
    Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro - The Westin San Francisco Market Street, San Francisco, United States
    Duration: 7 Apr 201311 Apr 2013

    Conference

    Conference2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro
    CountryUnited States
    CitySan Francisco
    Period7/04/1311/04/13

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