Title
Learning-Based Object Identification and Segmentation Using Dual-Energy CT Images for Security
Abstract
In recent years, baggage screening at airports has included the use of dual-energy X-ray computed tomography (DECT), an advanced technology for nondestructive evaluation. The main challenge remains to reliably find and identify threat objects in the bag from DECT data. This task is particularly hard due to the wide variety of objects, the high clutter, and the presence of metal, which causes strea...
Year
DOI
Venue
2015
10.1109/TIP.2015.2456507
IEEE Transactions on Image Processing
Keywords
Field
DocType
Image segmentation,Metals,Attenuation,Computed tomography,X-ray imaging,Labeling,Noise
Computer vision,Digital Enhanced Cordless Telecommunications,Weighting,Pattern recognition,Clutter,Segmentation,Segmentation-based object categorization,Image segmentation,Image noise,Artificial intelligence,Scanner,Mathematics
Journal
Volume
Issue
ISSN
24
11
1057-7149
Citations 
PageRank 
References 
0
0.34
13
Authors
4
Name
Order
Citations
PageRank
Limor Martin100.68
Ahmet Tuysuzoglu2215.24
William Clement Karl37913.41
Prakash Ishwar48511.54