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An X-ray scanning and image processing have a vast range of applications in the security. An image of a content of some package being passed for example to an airplane or to the court house may help to figure out if there are any dangerous objects inside that package and to avoid possible threatening situation. As the raw X-ray images are not always easy to analyze and interpret, some image processing methods like an object detection, a frequency resolution increase or a pseudocolouring are being used. In this paper, we propose a pseudocoloring improvement over material based approach. By addition of the edge detection methods we fill and sharpen colour layers over the image, making it easier to interpret. We demonstrate the effectiveness of the methods using real data, acquired from a professional dual energy X-ray scanner.
Słowa kluczowe
Rocznik
Tom
Strony
49--54
Opis fizyczny
Bibliogr. 13 poz., rys., wykr.
Twórcy
autor
- Institute of Computer Science, M.Curie-Sklodowska University, Lublin, Poland
autor
- Zeszuta Sp. z o.o., Radom, Poland
autor
- Institute of Computer Science, M.Curie-Sklodowska University, Lublin, Poland
autor
- Institute of Computer Science, M.Curie-Sklodowska University, Lublin, Poland
Bibliografia
- [1] K. Moreland, “Diverging color maps for scientific visualization,” Advances in Visual Computing, pp. 92-103, 2009.
- [2] G. Flitton, T. Breckon, and N. Megherbi, “A comparison of 3d interest point descriptors with application to airport baggage object detection in complex ct imagery.” Pattern Recognition, vol. 46, pp. 2420-2436, 2013.
- [3] Z. Ying, R. Naidu, and C. Crowford, “Dual energy computed tomography for explosive detection,” Journal of X-Ray Science and Technology, vol. 14, pp. 235-256, 2006.
- [4] H. Watabiki, T. Takeda, M. S., and Y. T., “Development of dual-energy x-ray inspection system,” Anritsu Technical Review, vol. 20, pp. 59-66, 2013.
- [5] J. Evans, Y. Liu, J. Chan, and D. Downes, “View synthesis for depth from motion 3d x-ray imaging.” Pattern Recognition Letters, vol. 44, pp. 1863-1873, 2006.
- [6] V. Rebuffel and J. Dinten, “Dual-energy x-ray imaging: Benefits and limits,” ECNDT, vol. 1.3.1., 2006.
- [7] J. Hubbell and S. Seltzer, “Tables of x-ray mass attenuation coefficients and mass energy-absorption coefficients from 1 kev to 20 mev for elements z = 1 to 92 and 48 additional substances of dosimetric interest,” NISTIR, vol. 5632, 1995.
- [8] S. Chang, H. Lee, and G. Cho, “Application of a dual-energy monochromatic x-ray ct algorithm to polychromatic x-ray ct: a feasibility study,” Nuclear Engineering Technology, vol. 44, pp. 61-70, 2012.
- [9] F. Firsching, T. Fuchs, and N. Uhlmann, “Method for dual high energy x-ray imaging with flat panel detectors,” ECNDT, vol. 1.3.1., 2006.
- [10] J. Parker, Algorithms for Image Processing and Computer Vision. Wiley, 1997.
- [11] S. Khan and W. Chai, “An image enhancement technique of x-ray carry on luggage for detection of contraband/illicit object(s).” IJCSI International Journal of Computer Science Issues, vol. 9, pp. 205-211, 2012.
- [12] K. Zuiderveld, “Contrast limited adaptive histogram equalization,” in Graphics gems IV, P. Heckbert, Ed. San Diego: Academic Press Professional, 1994, pp. 474-485.
- [13] M. Roomi and R. Rajashankarii, “Detection of concealed weapons in x-ray images using fuzzy k-nn.” International Journal of Computer Science, Engineering and Information Technology, vol. 2, pp. 187-196, 2012.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-803f2c77-f866-47a8-8a41-671d2cc7c85e