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    Variational Image Segmentation with Constraints

    Pan H 2020.pdf (4.483Mb)
    Access Status
    Open access
    Authors
    Pan, Huizhu
    Date
    2020
    Supervisor
    Wan-Quan Liu
    Ling Li
    Type
    Thesis
    Award
    MPhil
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    School of Electrical Engineering, Computing and Mathematical Sciences
    URI
    http://hdl.handle.net/20.500.11937/80866
    Collection
    • Curtin Theses
    Abstract

    The research of Huizhu Pan addresses the problem of image segmentation with constraints though designing and solving various variational models. A novel constraint term is designed for the use of landmarks in image segmentation. Two region-based segmentation models were proposed where the segmentation contour passes through landmark points. A more stable and memory efficient solution to the self-repelling snakes model, a variational model with the topology preservation constraint, was also designed.

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