Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/58122
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dc.contributor.authorYin, X.-
dc.contributor.authorNg, B.-
dc.contributor.authorAbbott, D.-
dc.contributor.authorZeitler, J.-
dc.contributor.authorNguyen, K.-
dc.contributor.authorGladden, L.-
dc.date.issued2008-
dc.identifier.citationProceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008, 14-17 July, 2008 / H. R. Arabnia (ed.):pp.252-258-
dc.identifier.isbn1601320787-
dc.identifier.isbn9781601320780-
dc.identifier.urihttp://hdl.handle.net/2440/58122-
dc.description.abstractThis paper reports on the local reconstruction of a region-of-interest from 3D terahertz imaging data obtained via a quantum cascade laser (QCL). It is an important step in understanding the trade-off between wavelet based techniques and traditional filtered back projection (FBP) for local reconstruction of terahertz images. The advantage of local reconstruction is a reduction in measurement time. Segmentation algorithms are applied to the reconstructed images with low contrast for analysis of optical properties of target objects with complex contours.-
dc.description.statementofresponsibilityXiao-Xia Yin, Brian Wai-Him Ng, Derek Abbott, J. A. Zeitler, K. L. Nguyen and L. Gladden-
dc.description.urihttp://www.world-academy-of-science.org/worldcomp08/ws/program/ipc15-
dc.language.isoen-
dc.rights© 2008 by Michael Ley-
dc.titleLocal reconstruction for three dimensional terahertz imaging using a CW quantum cascade laser-
dc.typeConference paper-
dc.contributor.conferenceInternational Conference on Image Processing, Computer Vision, and Pattern Recognition (2008 : Las Vegas, USA)-
pubs.publication-statusPublished-
dc.identifier.orcidNg, B. [0000-0002-8316-4996]-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
Appears in Collections:Aurora harvest 5
Electrical and Electronic Engineering publications

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