Translator Disclaimer
3 April 2008 Bag separation algorithm
Author Affiliations +
Abstract
Automated Explosive Detection Systems (EDS) utilizing Computed Tomography (CT) performs a series of X-ray scans of the luggage being checked, then various 2D projection images of the luggage are generated from the collected data set and sometimes 3D volumetric images of the luggage are generated in addition. Automatic explosives determination as to the presence of an explosive in the luggage is determined through extensive data manipulation of the 2D and 3D image sets, the results are then forwarded to a human interface for final review. The final determination as to whether the luggage contains an explosive and needs to be searched manually is performed by trained TSA (Transportation Security Administration) screeners following an approved TSA protocol. The TSA protocol has the screeners visually inspect the projection images and the renderings of the automated explosive results from detection to determine if the luggage needs to be suspected and consequently searched. Unlike conventional X-ray systems, the user interface for EDS systems are usually designed to display one bag at a time. However, in airport environments, there is usually more than one bag being processed. Therefore, segmentation is a crucial part of higher quality screening. If the screeners have to manually manipulate (zoom, pan, separate) the image, this increases overall screening time and decreases screener efficiency. This paper presents a novel image segmentation technique that is geared towards, though not exclusive to, automated explosive detection systems. The goal of this algorithm is to correctly separate each bag image to provide a higher quality screening process while reducing the overall screening time and luggage search rates.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yesna O. Yildiz, Douglas Q. Abraham, Sos Agaian, and Karen Panetta "Bag separation algorithm", Proc. SPIE 6982, Mobile Multimedia/Image Processing, Security, and Applications 2008, 69820Z (3 April 2008); https://doi.org/10.1117/12.781878
PROCEEDINGS
10 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Automatic detection of blasting caps in x-ray images
Proceedings of SPIE (November 19 2003)
Constructing long edge segments for object recognition
Proceedings of SPIE (August 01 1992)
Laser image segmentation on edge detection
Proceedings of SPIE (October 27 2006)
Using color to segment images of 3-D scenes
Proceedings of SPIE (March 01 1991)

Back to Top