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Abstract: Future
airport security goals as proposed by the Transportation Safety Administration impose
two intrinsically opposing requirements on X-ray scanners, namely high resolution
imaging and high throughput speeds. Modern few-view scanners offer a first step towards
these goals, offering better resolution than current single-view scanners while
maintaining current throughput. This thesis ... read moreproposes a set of algorithms to further
improve the processing of X-ray images both to improve image quality and as possible
intermediate steps in 3D item localization. The image enhancements are performed in two
different realms, the first being the reconstructed cross-sectional slices of the
scanned image, and the second being the reprojected planar views made from the above.
After enhancement is performed, the reprojected images show greater contrast, removal of
clutter, and allow easier segmentation of items. These algorithms were tested on real
suitcase data acquired from CT-style X-ray
scans.
Thesis (M.S.)--Tufts University,
2015.
Submitted to the Dept. of Electrical
Engineering.
Advisor: Brian
Tracey.
Committee: Eric Miller, and Seth
Liew.
Keyword: Electrical
engineering.read less
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