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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    Titel :

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


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


    Erscheinungsdatum :

    2006-09-01


    Format / Umfang :

    1372716 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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