Information fusion and wavelet based segment detection with applications to the identification of 3D target T-ray CT imaging

Abstract

In this paper, segmentation techniques depending on T-ray CT functional imaging [1] are investigated. A set of linear image fusion and novel wavelet scale correlation segmentation techniques are adopted in order to achieve classification within 3D objects. The methods are applied to a T-ray CT image dataset of a glass vial containing a plastic tube. This experiment simulates the imaging of a simple nested organic structure, which will provide an indication of the potential for using T-ray CT imaging to achieve T-ray pulsed signal classification of heterogeneous layers.