In previous work we use B-spline wavelets to detect Gaussian objects in Markov noise. The authors now generalize the method and use it to adaptively enhance images according to the detector output. They examine a class of multiscale matched filters implemented using the wavelet transform, and show how these filters may be employed to detect objects in complex backgrounds. In two contrasting applications they use the approach to detect microcalcifications in mammograms and ships in infrared images.


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    Titel :

    Wavelet methods for extracting objects from complex backgrounds


    Beteiligte:
    Strickland, R.N. (Autor:in) / Hahn, H.I. (Autor:in)


    Erscheinungsdatum :

    01.01.1996


    Format / Umfang :

    1209584 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Visibility of simple features on complex backgrounds [2657-26]

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