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A Study on Optimization Methods of X-Ray Machine Recognition for Aviation Security System

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Open Access
|Jun 2015

References

  1. Maryam Jaberi, George Bebis, Muhammad Hussain, Ghulam Muhammad,” Accurate and robust localization of duplicated region in copy–move image forgery”, Machine Vision and Applications (2014) 25, pp: 451–475.10.1007/s00138-013-0522-0
  2. M. G. Ponomarev, C. Selcuk, T.-H. Gan1, M. Amos, I. Nicholson, M. Iovea, M. Neagu, B. Stefanescu and G. Mateiasi,” Defect detection and classification system for automatic analysis of digital radiography images of PM parts”, Powder Metallurgy, 2014 VOl. 57 NO. 1, pp: 17-24.10.1179/0032589914Z.000000000151
  3. Ashnil Kumar, Jinman Kim, Lingfeng Wen, Michael Fulham, Dagan Feng,”A graphbased approach for the retrieval of multi-modality medical images”, Medical Image Analysis, 2014(18), pp: 330-342.10.1016/j.media.2013.11.00324378541
  4. Jeongin Seo, Hyeyoung Park,”Robust identification of face with partial variations using local features and statistical learning”, Neuroconmputing 129(2014), pp: 41-48.10.1016/j.neucom.2012.09.048
  5. Qizhi Xu, Yun Zhang, and Bo Lia, “Improved SIFT match for optical satellite images registration by size classification of blob-like structures”, Remote Sensing Letters, 2014 Vol. 5, No. 5, pp: 451–460.10.1080/2150704X.2014.917774
  6. A. Mellon, P. Bestagin, A. Costanzo, M. Barni, M. Tagliasacchi, S. Tubaro. “Attacking image classification based on Bag-of-Visual-Words”, WIFS ‘2013. Guangzhou. China. ISBN 978-1-4673-5593-3 ©2013 IEEE. November 18-21. 2013. pp: 103-108.
  7. Kraisak Kesorn, Stefan Poslad, “An Enhanced Bag-of-Visual Word Vector Space Model to Represent Visual Content in Athletics Images”, IEEE Transactions on Multimedia, vol. 14, NO. 1, February 2012, pp: 211-221.10.1109/TMM.2011.2170665
  8. David G.Lowe, “Distinctive image features from scale-invariant keypoints”, International Journal of Computer Vision, 2004, January 5, pp: 1-28.
  9. S. Yamada, K. Chomsuwan, S.C.Mukhopadhyay, M.Iwahara, M. Kakikawa and I. Nagano, “Detection of Magnetic Fluid Volume Density with a GMR Sensor”, Journal of Magnetics Society of Japan, Vol. 31, No. 2, pp. 44-47, 2007.10.3379/jmsjmag.31.44
  10. Swarnajyoti Patra, Lorenzo Bruzzone, “A Novel SOM-SVM-Based Active Learning Technique for Remote Sensing Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, NO. 11, NOVEMBER 2014 pp: 6899-6910.10.1109/TGRS.2014.2305516
  11. S.C.Mukhopadhyay, K. Chomsuwan, C. Gooneratne and S. Yamada, “A Novel NeedleType SV-GMR Sensor for Biomedical Applications”, IEEE Sensors Journal, Vol. 7, No. 3, pp. 401-408, March 2007.10.1109/JSEN.2007.891929
  12. Fan Zhu, Ling Shao, “Weakly-Supervised Cross-Domain Dictionary Learning for Visual identification”, Int J Comput Vis (2014) 109, pp: 42–59.10.1007/s11263-014-0703-y
  13. Xiyan He, Gilles Mourot, Didier Maquin, José Ragot, Pierre Beauseroy, AndréSmolarz, Edith Grall-Maёs, “Multi-task learning with one-class SVM”, Neurocomputing 133(2014), pp:416-426.10.1016/j.neucom.2013.12.022
  14. G.Sengupta, T.A.Win, C.Messom, S. Demidenko and S.C. Mukhopadhyay, “Defect analysis of grit-blasted or spray printed surface using vision sensing technique”, Proceedings of Image and Vision Computing NZ, Nov. 26-28, 2003, Palmerston North, pp. 18-23.
  15. Marine Lorent, Magali Giral, Yohann Foucher, “Net time-dependent ROC curves: a solution for evaluating the accuracy of a marker to predict disease-related mortality”, Statistics in Medicine, Volume 33(14). 2014 June, pp: 2379–2389.
  16. Tang Q.-Y. and Zhang C. -X.,(2013) Data Processing System (DPS) software with experimental design, statistical analysis and data mining developed for use in entomological research, Insect Science, 20(2).pp:384-390.
  17. S.C.Mukhopadhyay, F.P.Dawson, M.Iwahara and S.Yamada, “A Novel Compact Magnetic Current Limiter for Three Phase Applications”, IEEE Transactions on Magnetics, Vol. 36, No. 5, pp. 3568-3570, September 2000.
  18. Ning Zhang and Jinfu Zhu, A study of x-ray machine image local semantic features extraction model based on bag-of-words for airport security, International Journal on Smart Sensing and Intelligent Systems, vol.8, no.1, pp.45 – 64, 2015.10.21307/ijssis-2017-748
Language: English
Page range: 1313 - 1332
Submitted on: Feb 25, 2015
Accepted on: Apr 30, 2015
Published on: Jun 1, 2015
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2015 Ning Zhang, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.