Abstract

A dual modality tomographic system is described for materialclassification in a simulated multi-component flow regime. It combines twotomographic modalities, electrical current and light, to image theinterrogated area. Derived image parameters did not allow materialclassification. PCA analysis was performed on this data set producing a newparameter set, which allowed material classification. This procedure reducesthe dimensionality of the data set and also offers a pre-processing techniqueprior to analysis by another classifier.

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