Image Segmentation of Retinal Vessels by Fuzzy Models

T Pham, Dat Tran, Marianne Brown, R Kennedy

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    6 Citations (Scopus)
    3 Downloads (Pure)

    Abstract

    Image segmentation of retinal vessels is an important and very challenging task in any automated system for the diagnosis of vascular conditions associated with diabetic retinopathy, which are the most common complications of diabetes. In this paper we propose several fuzzy computational models for detecting retinal vessels in images, which are subjected to inconsistent contrast and vague boundaries
    Original languageEnglish
    Title of host publicationProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems
    EditorsK.N Ngan, W.C Siu
    Place of PublicationHong Kong
    PublisherIEEE
    Pages541-544
    Number of pages4
    ISBN (Print)0-7803-9266-3
    DOIs
    Publication statusPublished - 2005
    EventInternational Symposium on Intelligent Signal Processing and Communication Systems - , Hong Kong
    Duration: 13 Dec 200516 Dec 2005

    Conference

    ConferenceInternational Symposium on Intelligent Signal Processing and Communication Systems
    CountryHong Kong
    Period13/12/0516/12/05

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    Cite this

    Pham, T., Tran, D., Brown, M., & Kennedy, R. (2005). Image Segmentation of Retinal Vessels by Fuzzy Models. In K. N. Ngan, & W. C. Siu (Eds.), Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems (pp. 541-544). Hong Kong: IEEE. https://doi.org/10.1109/ISPACS.2005.1595466