Title | ||
---|---|---|
Learning-Based Object Identification and Segmentation Using Dual-Energy CT Images for Security |
Abstract | ||
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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 Martin | 1 | 0 | 0.68 |
Ahmet Tuysuzoglu | 2 | 21 | 5.24 |
William Clement Karl | 3 | 79 | 13.41 |
Prakash Ishwar | 4 | 85 | 11.54 |