A Novel Noise Removal Technique of X-Ray Carry-on Luggage for Detection of Contraband/Illicit Object(s)
Sajid Ullah Khan1, Wang Yin Chai2, Chai Soo See3
1Sajid Ullah Khan, Faculty of Computer Science & Information Technology, University Sarawak, Malaysia.
2Wang Yin Chai, Faculty of Computer Science & Information Technology, University Sarawak Malaysia.
3Chai Soo See, Faculty of Computer Science & Information Technology, University  Sarawak, Malaysia.
Manuscript received on January 25, 2013. | Revised Manuscript received on February 14, 2013. | Manuscript published on February 28, 2013. | PP: 94-99 | Volume-2 Issue-3, February 2013.  | Retrieval Number: C1021022313 /2013©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Luggage inspection systems play an important role in ensuring national security at airports. In this paper, a novel approach of noise removal from dual energy X-ray images is proposed to ensure the national security at airport. This novel approach is used as a key step in our previous framework to get perfect results. High Energy and Low Energy x-ray images are combined, de-noise it with the proposed novel approach and at the end enhance the fused image with histogram specification to improve the contrast. The final image did not only contains the details, but is also background-noise-free and contrast-enhanced, therefore easier to segment automatically or be interpreted by screeners, thus reducing the false alarm rate in X-ray luggage inspection. It is observed that the proposed approach is more suitable for screeners in detecting contraband/illicit objects than using other conventional techniques. 
Keywords: Dual Energy x-ray Image enhancement, Image restoration, Image fusion, De-noising, Histogram specification.