Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Analyzing Refractory Bricks of Ladles using Infrared Images

열화상 영상을 이용한 래들의 내화물 열화도 분석

  • Lee, Sang Jun (Department of Electrical Engineering, POSTECH) ;
  • Jeon, Yong-Ju (Department of Electrical Engineering, POSTECH) ;
  • Kim, Sang Woo (Department of Electrical Engineering, Department of Creative IT Engineering, POSTECH)
  • 이상준 (POSTECH 전자전기공학과) ;
  • 전용주 (POSTECH 전자전기공학과) ;
  • 김상우 (POSTECH 창의IT융합공학과, 전자전기공학과)
  • Received : 2014.12.31
  • Accepted : 2015.01.22
  • Published : 2015.04.01
Download PDF
⟨ Previous Next ⟩

Abstract

In the steel manufacturing process heat-endurance deterioration of a ladle used to cause a big accident. In this paper, an infrared imaging system and image analyzing procedure are proposed for inspecting refractory bricks of a ladle. The proposed algorithm contains following three parts: two-stage image selection procedure, reference point detection, and analysis of heat-endurance deterioration. Experiments were conducted with real data from a steel plant and detailed configuration of infrared imaging system was presented.

Keywords

References

  1. B. R. Suresh, R. A. Fundakowski, T. S. Levitt, and J. E. Overland, "A real-time automated visual inspection system for hot steel slabs," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 5, no. 6, pp. 563-572, Nov. 1983.
  2. V. Lashkia, "Defect detection in X-ray images using fuzzy reasoning," Image and Vision Computing, vol. 19, no. 5, pp. 261-269, Apr. 2001. https://doi.org/10.1016/S0262-8856(00)00075-5
  3. Y. J. Jang and J. S. Lee, "Development of a reliable real- time 3D reconstruction system for tiny defects on steel surfaces," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 12, pp. 1061-1066, 2013. https://doi.org/10.5302/J.ICROS.2013.13.9035
  4. D. Choi, Y. Jeon, J. P. Yun, and S. W. Kim, "Pinhole detection in steel slab images using Gabor filter and morphological features," Applied Optics, vol. 50, no. 26, pp. 5122-5129, 2011. https://doi.org/10.1364/AO.50.005122
  5. Y. Joo and K. Huh, "Robust defect size measuring method for an automated vision inspection system," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 11, pp. 974-978, 2013. https://doi.org/10.5302/J.ICROS.2013.13.9031
  6. J. P. Yun, S. H. Choi, and S. W. Kim, "Real-time vision-based defect inspection for high-speed steel products," Optical Engineering, vol. 48, no. 3, Mar. 2009.
  7. M. Kano and Y. Nakagawa, "Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry," Computers and Chemical Engineering, vol. 32, no. 1, pp. 12-24, Jan. 2008. https://doi.org/10.1016/j.compchemeng.2007.07.005
  8. S. Bagavathiappan, B. B. Lahiri, T. Saravanan, J. Philip, and T. Jayakumar, "Infrared thermography for condition monitoring - A review," Infrared Physics & Technology, vol. 60, pp. 35-55, Sep. 2013. https://doi.org/10.1016/j.infrared.2013.03.006
  9. C. A. Balaras, A. A. Argiriou, and T. Jayakumar, "Infrared thermography for building diagnostics," Energy and Buildings, vol. 34, no. 2, pp. 171-183, Feb. 2002. https://doi.org/10.1016/S0378-7788(01)00105-0
  10. B. B. Lahiri, S. Bagavathiappan, T. Jayakumar, and J. Philip, "Medical applications of infrared thermography: A review," Infrared Physics & Technology, vol. 55, no. 4, pp. 221-235, Jul. 2012. https://doi.org/10.1016/j.infrared.2012.03.007
  11. S. J. Lee, Y. Jeon, and S. W. Kim, "Development of a ladle analysis software using IR camera," Proc. of ICROS (Institute of Control, Robotics and Systems) 2014 Daegu-Gyeongbuk Branch Conference (in Korean), pp. 29-32, Nov. 2014.
  12. M. Fidali and W. Jamrozik, "Diagnostic method of welding process based on fused infrared and vision images," Infrared Physics & Technology, vol. 61, pp. 241-253, Nov. 2013. https://doi.org/10.1016/j.infrared.2013.08.010
  13. S. C. Park, M. K. Park, and M. G. Kang, "Super-resolution image reconstruction: a technical overview," IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 21-36, May 2003. https://doi.org/10.1109/MSP.2003.1203207
  14. D. Capel and A. Zisserman, "Computer vision applied to super resolution," IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 75-86, May 2003.
  15. L.-K. Liu and E. Feig, "A block-based gradient descent search algorithm for block motion estimation in video coding," IEEE Transactions on Circuits and Systems for Video Technology, vol. 6, no. 4, pp. 419-422, Aug. 1996. https://doi.org/10.1109/76.510936
  16. C. D. Evangelidis and E. Z. Psarakis, "Parametric image alignment using enhanced correlation coefficient maximization," IEEE Transactionson Pattern Analysis and Machine Intelligence, vol. 30, no. 10, pp. 1858-1865, 2008. https://doi.org/10.1109/TPAMI.2008.113
  17. R. Mehrotra, K. R. Namuduri, and N. Ranganathan, "Gabor filter-based edge detection," Pattern Recognition, vol. 25, no. 12, pp. 1479-1494, Dec. 1992. https://doi.org/10.1016/0031-3203(92)90121-X