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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 18, Iss. 10 — May. 10, 2010
  • pp: 10659–10667

Automatic image segmentation for concealed object detection using the expectation-maximization algorithm

Dong-Su Lee, Seokwon Yeom, Jung-Young Son, and Shin-Hwan Kim  »View Author Affiliations

Optics Express, Vol. 18, Issue 10, pp. 10659-10667 (2010)

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We address an image segmentation method to detect concealed objects captured by passive millimeter wave (MMW) imaging. Passive MMW imaging can create interpretable imagery on the objects concealed under clothing, which gives the great advantage to the security system. In this paper, we propose the multi-level expectation maximization (EM) method to separate the concealed objects from the other area in the image. We apply the EM method to obtain a Gaussian mixture model (GMM) of the acquired image. In the experiments, we evaluate the performance by the average probability of error. We will show that the consecutive EM processes separates the object area more accurately than the conventional EM method.

© 2010 OSA

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(110.2970) Imaging systems : Image detection systems
(100.3008) Image processing : Image recognition, algorithms and filters
(110.6795) Imaging systems : Terahertz imaging

ToC Category:
Image Processing

Original Manuscript: March 24, 2010
Revised Manuscript: April 27, 2010
Manuscript Accepted: April 29, 2010
Published: May 6, 2010

Dong-Su Lee, Seokwon Yeom, Jung-Young Son, and Shin-Hwan Kim, "Automatic image segmentation for concealed object detection using the expectation-maximization algorithm," Opt. Express 18, 10659-10667 (2010)

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  1. H.-M. Chen, S. Lee, R. M. Rao, M.-A. Slamani, and P. K. Varshney, “Imaging for concealed weapon detection: a tutorial overview of development in imaging sensors and processing,” IEEE Signal Process. Mag. 22(2), 52–61 (2005). [CrossRef]
  2. R. Appleby and R. N. Anderton, “Millimeter-wave and submillimeter-wave imaging for security and surveillance,” Proc. IEEE 95(8), 1683–1690 (2007). [CrossRef]
  3. T. W. Du Bosq, J. M. Lopez-Alonso, and G. D. Boreman, “Millimeter wave imaging system for land mine detection,” Appl. Opt. 45(22), 5686–5692 (2006). [CrossRef] [PubMed]
  4. L. Yujiri, M. Shoucri, and P. Moffa, “Passive millimeter-wave imaging,” IEEE Microw. Mag. 4(3), 39–50 (2003). [CrossRef]
  5. J. Son, V. P. Guschin, A. G. Denisov, S. Yeom, and D. Jung, “Comparisons of 3 dimensional temperature distributions of mm and IR images,” Proceedings of IEEE Conference on Microwaves, Radar and Remote Sensing Symposium, MRRS, Kiev, 132–135 (2008).
  6. F. Buersgens, G. Acuna, and R. Kersting, “Millimeter wave probing of the acoustic phase for concealed object detection,” Opt. Express 15(14), 8838–8843 (2007). [CrossRef] [PubMed]
  7. M. R. Fetterman, J. Grata, G. Jubic, W. L. Kiser, and A. Visnansky, “Simulation, acquisition and analysis of passive millimeter-wave images in remote sensing applications,” Opt. Express 16(25), 20503–20515 (2008). [CrossRef] [PubMed]
  8. K. B. Cooper, R. J. Dengler, N. Llombart, T. Bryllert, G. Chattopadhyay, I. Mehdi, and P. H. Siegel, “An approach for sub-second imaging of concealed objects using terahertz (THz) radar,” Int. J. Infrared Millim. Waves 30, 1297–1307 (2009).
  9. A. Denisov, V. Gorishnyak, S. Kuzmin, V. Miklashevich, V. Obolonskv, V. Radzikhovsky, B. Shevchuk, B. Yshenko, V. Uliz'ko, and J. Son, “Some experiments concerning resolution of 32 sensors passive 8 mm wave imaging system,” Proceedings of the 20th International Symposium on Space Terahertz Technology, Charlottesville, 227–229 (2009).
  10. M.-K. Jung, Y.-S. Chae, S.-K. Kim, M. Koji, and J.-K. Rhee, “Studies on the millimeter-wave passive imaging system,” J. Korean Inst. Electr. and Electro. Mater. Eng. 43, 182–188 (2006).
  11. R. C. Gonzalez, Digital Image Processing 2/E (Prentice-Hall Inc., 2003).
  12. T. Fabritius, S. Makita, M. Miura, R. Myllylä, and Y. Yasuno, “Automated segmentation of the macula by optical coherence tomography,” Opt. Express 17(18), 15659–15669 (2009). [CrossRef] [PubMed]
  13. T. Collier, P. Shen, B. de Pradier, K.-B. Sung, R. Richards-Kortum, M. Follen, and A. Malpica, “Near real time confocal microscopy of amelanotic tissue: dynamics of aceto-whitening enable nuclear segmentation,” Opt. Express 6(2), 40–48 (2000). [CrossRef] [PubMed]
  14. D.-S. Lee, S. Yeom, J. Son, and S.-H. Kim, “Image segmentation of concealed objects detected by a PMMW imaging system,” presented at the 34th International Conference on Infrared, Millimeter, and Terahertz Waves, Paradise Hotel, Busan, Korea, 21–25 (2009).
  15. X. Shen, C. R. Dietlein, E. Grossman, Z. Popovic, and F. G. Meyer, “Detection and segmentation of concealed objects in terahertz images,” IEEE Trans. Image Process. 17(12), 2465–2475 (2008). [CrossRef] [PubMed]
  16. C. D. Haworth, Y. Saint-Pern, D. Clark, E. Trucco, and Y. R. Petillot, “Detection and tracking of multiple metallic objects in millimeter-wave images,” Int. J. Comput. Vis. 71(2), 183–196 (2007). [CrossRef]
  17. A. Dempster, N. Laird, and D. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. R. Stat. Soc., B 39, 1–38 (1977).
  18. S. Yeom, B. Javidi, P. Ferraro, D. Alfieri, S. Denicola, and A. Finizio, “Three-dimensional color object visualization and recognition using multi-wavelength computational holography,” Opt. Express 15(15), 9394–9402 (2007). [CrossRef] [PubMed]
  19. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification (John Wiley & Sons, 2001).
  20. K. Fukunaga, Introduction to Statistical Pattern Recognition 2nd (Academic Press, Boston, 1990).
  21. W. A. Yasnoff, J. K. Mui, and J. W. Bacus, “Error measures for scene segmentation,” Pattern Recognit. 9(4), 217–231 (1977). [CrossRef]

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