Effective noise reduction algorithm for material decomposition in dual-energy X-ray inspection

Zentai, 2008, X-ray imaging for homeland security, 1 Shikhaliev, 2018, Megavoltage cargo radiography with dual energy material decomposition, Nucl. Instrum. Methods Phys. Res. A, 882, 158, 10.1016/j.nima.2017.11.001 Alvarez, 1976, Energy selective reconstructions in X-ray computerized tomography, Phys. Med. Biol., 21, 733, 10.1088/0031-9155/21/5/002 Lee, 2018, Efficient material decomposition method for dual-energy x-ray cargo inspection system, Nucl. Instrum. Methods Phys. Res. A, 884, 105, 10.1016/j.nima.2017.12.009 Oh, 2018, Evaluation and optimization of an image acquisition system for dual-energy cargo inspections, IEEE Trans. Nucl. Sci., 65, 2657, 10.1109/TNS.2018.2864787 Li, 2016, A dynamic material discrimination algorithm for dual MV energy X-ray digital radiography, Appl. Radiat. Isot., 114, 188, 10.1016/j.apradiso.2016.05.018 Lee, 2012, A dual-energy material decomposition method for high-energy X-ray cargo inspection, J. Korean Phys. Soc., 61, 821, 10.3938/jkps.61.821 Petrongolo, 2015, Noise suppression for dual-energy CT through entropy minimization, IEEE Trans. Med. Imaging, 34, 2286, 10.1109/TMI.2015.2429000 Petrongolo, 2018, Single-scan dual-energy CT using primary modulation, IEEE Trans. Med. Imaging, 37, 1799, 10.1109/TMI.2018.2796858 Lee, 2017, A feasibility study of low-dose single-scan dual-energy cone-beam CT in many-view under-sampling framework, IEEE Trans. Med. Imaging, 36, 10.1109/TMI.2017.2765760 Ogorodnikov, 2002, Processing of interlaced images in 4-10 MeV dual energy customs system for material recognition, Phys. Rev. Spec. Top. - Accel. Beams., 5, 67, 10.1103/PhysRevSTAB.5.104701 Ahalt, 1990, Competitive learning algorithms for vector quantization, Neural Netw., 3, 277, 10.1016/0893-6080(90)90071-R Xu, 1993, Rival penalized competitive learning for clustering analysis, RBF net, and curve detection, IEEE Trans. Neural Netw., 4, 636, 10.1109/72.238318 Law, 2003, Color image segmentation using rival penalized controlled competitive learning, 108 Cheung, 2005, On rival penalization controlled competitive learning for clustering with automatic cluster number selection, IEEE Trans. Knowl. Data Eng., 17, 1583, 10.1109/TKDE.2005.184 Ma, 2006, 442 Žalik, 2008, An efficient k’-means clustering algorithm, Pattern Recognit. Lett., 29, 1385, 10.1016/j.patrec.2008.02.014 Tomasi, 1998, Bilateral filtering for gray and color images, 839 Neyman, 1967 Feldkamp, 1984, Practical cone-beam algorithm, J. Opt. Soc. Amer. A, 1, 612, 10.1364/JOSAA.1.000612 Bjorkholm, 2004, Dual energy detection of weapons of mass destruction, Port Technol. Int., 6178 Abbasi, 2019, A novel dual high-energy x-ray imaging method for materials discrimination, Nucl. Instrum. Methods Phys. Res. A, 930, 82, 10.1016/j.nima.2019.03.064 Cheng, 2001, Color image segmentation: advances and prospects, Pattern Recognit., 34, 2259, 10.1016/S0031-3203(00)00149-7 Haddad, 1991, A class of fast Gaussian binomial filters for speech and image processing, IEEE Trans. Signal Process., 39, 723, 10.1109/78.80892 Buades, 2005, A non-local algorithm for image denoising, 60