Material analysis on noisy multispectral images using classifier combination

Author

Ponti, Moacir P. ; Mascarenhas, Nelson D A

Author_Institution

Departamento de Computacao, Univ. Fed. de Sao Carlos, Sao Paulo, Brazil

fYear

2004

fDate

28-30 March 2004

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

X-ray imaging; computerised tomography; image classification; materials science; radiography; random noise; soil; γ-ray CT scanner; X-ray CT scanner; classification features; computerized tomography scanner; gamma-ray CT scanner; linear attenuation coefficients; material analysis; noisy multispectral images; signal classifier combination; soil science; Attenuation; Computed tomography; Image analysis; Image segmentation; Imaging phantoms; Information analysis; Logistics; Multispectral imaging; Noise figure; Soil;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Print_ISBN

0-7803-8387-7

Type

conf

DOI

10.1109/IAI.2004.1300933

Filename

1300933