Methods for material analysis on images are essential in many applications. We present a set of experiments with classifier combiners in order to recognize materials in multispectral images with applications in soil science. These images were obtained by the transmission of different energies with a computerized tomography scanner. The use of the linear attenuation coefficients as classification features is studied. The multispectral images are classified, and combining techniques for the classifiers are investigated. A comparison of the combiners with the individual classifiers is also performed.


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    Titel :

    Material analysis on noisy multispectral images using classifier combination


    Beteiligte:
    Ponti, M.P. (Autor:in) / Mascarenhas, N.D.A. (Autor:in)


    Erscheinungsdatum :

    2004-01-01


    Format / Umfang :

    293265 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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