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  • Fuzzy Segmentation of Lip Image Using Cluster Analysis

    Author(s)
    Liew, Alan Wee-Chung
    Shum, K.L.
    Leung, Shu Hung
    Lau, Wing Hong
    Griffith University Author(s)
    Liew, Alan Wee-Chung
    Year published
    1999
    Metadata
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    Abstract
    A clustering-based lip segmentation algorithm is described here. The fuzzy clustering algorithm presented here is able to take into account the local smoothness property of image data. The objective functional of our algorithm utilizes a new distance metric that takes into account the influence of the neighboring pixels on the centre pixel in a 3 by 3 window. Computational steps involved in the segmentation of color lip image and segmentation result for a set of color lip images are given.A clustering-based lip segmentation algorithm is described here. The fuzzy clustering algorithm presented here is able to take into account the local smoothness property of image data. The objective functional of our algorithm utilizes a new distance metric that takes into account the influence of the neighboring pixels on the centre pixel in a 3 by 3 window. Computational steps involved in the segmentation of color lip image and segmentation result for a set of color lip images are given.
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    Publisher URI
    http://www.isca-speech.org/archive/eurospeech_1999/e99_0335.html
    Subject
    PRE2009-Computer Vision
    PRE2009-Image Processing
    Publication URI
    http://hdl.handle.net/10072/45058
    Collection
    • Conference outputs

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