Image segmentation based on scaled fuzzy membership functions

Jan Jantzen, P. Ring,, Pernille Christiansen

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    Abstract

    As a basis for an automated interpretation of magnetic resonance images, the authors propose a fuzzy segmentation method. The method uses five standard fuzzy membership functions: small, small medium, medium, large medium, and large. The method fits these membership functions to the modes of interest in the image histogram by means of a piecewise-linear transformation. A test example is given concerning a human head image, including a sensitivity analysis based on the fuzzy area measure. The method provides a rule-based interface to the physician
    Original languageEnglish
    Title of host publicationProceedings of the 2nd IEEE International Conference on Fuzzy Systems
    VolumeVolume 2
    PublisherIEEE
    Publication date1993
    Pages714-718
    ISBN (Print)07-80-30614-7
    DOIs
    Publication statusPublished - 1993
    EventIEEE International Conference on Fuzzy Systems - San Francisco, CA
    Duration: 1 Jan 1993 → …
    Conference number: 2nd

    Conference

    ConferenceIEEE International Conference on Fuzzy Systems
    Number2nd
    CitySan Francisco, CA
    Period01/01/1993 → …

    Bibliographical note

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