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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    Title :

    Material analysis on noisy multispectral images using classifier combination


    Contributors:


    Publication date :

    2004-01-01


    Size :

    293265 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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