Multiresolution localization and segmentation of the optical disc in fundus images using inpainted background and vessel information

Andrea Giachetti, Khai S. Chin, Emanuele Trucco, Caroline Cobb, Peter J. Wilson

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

    17 Citations (Scopus)

    Abstract

    In this paper we present a novel method for the automatic location and segmentation of the optical disk in fundus images. It is based on the decoupling of vessel and background information obtained with morphological segmentation and inpainting. A multiresolution optimization scheme finding elliptic contours optimally adapted to a brightness model is then applied on the inpainted brightness image, under the constraint that a reasonable amount of vasculature must be present inside the disc. An effective objective function and a multiresolution scheme allow a deterministic optimizer to converge on the OD contour with good accuracy, while the vessel-based constraint limits wrong contour detections in anomalous cases. Our initial experiments (30 DRIVE images, ground truth from two doctors) suggest that the method can provide accurate results both in term of optic disc location and contour segmentation accuracy.

    Original languageEnglish
    Title of host publication2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
    Place of PublicationNEW YORK
    PublisherIEEE Computer Society
    Pages2145-2148
    Number of pages4
    ISBN (Print)978-1-4577-1303-3
    DOIs
    Publication statusPublished - 2011
    Event18th IEEE International Conference on Image Processing - Brussels, Belgium
    Duration: 11 Sep 201114 Sep 2011
    http://www.icip2011.org/

    Conference

    Conference18th IEEE International Conference on Image Processing
    Abbreviated titleICIP 2011
    CountryBelgium
    CityBrussels
    Period11/09/1114/09/11
    Internet address

    Keywords

    • Optic Disc
    • Retinal Fundus Images
    • Inpainting
    • Blood Vessels
    • Multiresolution
    • RETINA

    Cite this

    Giachetti, A., Chin, K. S., Trucco, E., Cobb, C., & Wilson, P. J. (2011). Multiresolution localization and segmentation of the optical disc in fundus images using inpainted background and vessel information. In 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (pp. 2145-2148). IEEE Computer Society. https://doi.org/10.1109/ICIP.2011.6116035