In this paper, segmentation techniques depending on T-ray CT functional imaging [1] are investigated. A set of linear image fusion and novel wavelet scale correlation segmentation techniques are adopted in order to achieve classification within 3D objects. The methods are applied to a T-ray CT image dataset of a glass vial containing a plastic tube. This experiment simulates the imaging of a simple nested organic structure, which will provide an indication of the potential for using T-ray CT imaging to achieve T-ray pulsed signal classification of heterogeneous layers.


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    Title :

    Information Fusion and Wavelet Based Segment Detection with Applications to the Identification of 3D Target T-ray CT Imaging


    Contributors:
    Yin, X.X. (author) / Ng, B.W.-H. (author) / Ferguson, B. (author) / Mickan, S.P. (author) / Fischer, B.M. (author) / Rainsford, T.J. (author) / Abbott, D. (author)


    Publication date :

    2006-09-01


    Size :

    1372716 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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