Image analysis in dual modality tomography for material classification

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