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Material analysis on noisy multispectral images using classifier combination

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2 Author(s)
M. P. Ponti ; Departamento de Computacao, Univ. Fed. de Sao Carlos, Sao Paulo, Brazil ; N. D. A. Mascarenhas

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.

Published in:

Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on

Date of Conference:

28-30 March 2004