Abstract  Dual energy X"ray inspection systems are widely use d in security and controlling systems. The performance of these systems however, degrades with the poor performance of human operators. Computer vision based systems are of vital importance in improving the detection rate of illic it materials, while keeping false alarms at a reaso nably low level. In this study, a novel method is proposed for detecting mat erial overlapping and reconstructing multiple image s by alleviating these overlaps. Evaluation tests were conducted on images taken from luggage inspection X"ray screening devices used in shopping centres. The experimental results indicate that the reconstructed images are much easier to inspect by human operators than the unprocessed original images.  

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[27] Yang Y., Li T., and Li Y., Explosives Detection Using Dual Energy X-ray Imaging and Photoneutron Analysis, in Proceedings of IEEE Nuclear Science Symposium Conference , Orlando, pp. 876-878, 2009. Reza Hassanpour is affiliated with the Computer Engineering department of Cankaya University, Ankara-Turkey. He received his PhD in Computer Engineering from the Middle East Technical University, Ankara, Turkey in 2003. His main research interests are computer vision, pattern recognition and medical image processing.