2-D wavelet segmentation in 3-D T-ray tomography

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dc.contributor.authorYin, X.
dc.contributor.authorNg, B.
dc.contributor.authorFerguson, B.
dc.contributor.authorMickan, S.
dc.contributor.authorAbbott, D.
dc.date.issued2007
dc.descriptionCopyright © 2007 IEEE
dc.description.abstractIn this letter, segmentation techniques for terahertz (T-ray) computed tomographic (CT) imaging are investigated. A set of linear image fusion and novel wavelet scale correlation segmentation techniques is adopted to achieve material discrimination within a 3-D object. The methods are applied to a T-ray CT image dataset taken from a plastic vial containing a plastic tube. This setup simulates the imaging of a simple nested organic structure, which provides an indication of the potential for using T-ray CT imaging to achieve T-ray pulsed signal classification of heterogeneous layers
dc.description.statementofresponsibilityXiaoxia Yin, Brian W.-H. Ng, Bradley Ferguson, Samuel P. Mickan and Derek Abbott
dc.identifier.citationIEEE Sensors Journal, 2007; 7(3-4):342-343
dc.identifier.doi10.1109/JSEN.2006.890159
dc.identifier.issn1530-437X
dc.identifier.issn1558-1748
dc.identifier.orcidNg, B. [0000-0002-8316-4996]
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]
dc.identifier.urihttp://hdl.handle.net/2440/37170
dc.language.isoen
dc.publisherThe Institute of Electrical and Electronic Engineers Inc.
dc.source.urihttps://doi.org/10.1109/jsen.2006.890159
dc.title2-D wavelet segmentation in 3-D T-ray tomography
dc.typeJournal article
pubs.publication-statusPublished

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