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

  • 제22권4호
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  • Pages.247-252
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  • 2016
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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냉연 강판의 미세 결함 검출 기술

A Micro-defect Detection of Cold Rolled Steel

  • Yun, Jong Pil (Control and Instrumentation Research Group, Engineering Solution Center, POSCO)
  • 투고 : 2016.02.05
  • 심사 : 2016.03.24
  • 발행 : 2016.04.01
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초록

In this paper, we propose a new defect detection technology for micro-defect on the surface of steel products. Due to depth and size of microscopic defect, slop of surface and vibration of strip, the conventional optical method cannot guarantee the detection performance. To solve the above-mentioned problems and increase signal to noise ratio, a novel retro-schlieren method that consists of retro reflector and knife edge is proposed. Moreover dual switching lighting method is also applied to distinguish uneven micro defects and surface noise. In proposed method, defective regions are represented by a black and white pattern. This pattern is detected by a defect detection algorithm with Gabor filter. Experimental results by simulator for sample defects of cold rolled steel show that the proposed method is effective.

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참고문헌

  1. A. Kumar, "Computer-vision-based fabric defect detection: A survey," IEEE Transactions on Industrial Electronics, vol. 55, no. 1, pp. 348-363, Jan. 2008. https://doi.org/10.1109/TIE.1930.896476
  2. C. S. Cho, B. M. Chung, and M. J. Park, "Development of real-time vision-based fabric inspection system," IEEE Transactions on Industrial Electronics, vol. 52, no. 4, pp. 1073-1079, Aug. 2005. https://doi.org/10.1109/TIE.2005.851648
  3. J. H. Oh, B. J. Yun, S. Y. Kim, and K. H. Park, "A development of the TFT-LCD image defect inspection method based on human visual system," IEICE Transactions on Fundamentals, vol. E91-A, no. 6, pp. 1400-1407, Jun. 2008. https://doi.org/10.1093/ietfec/e91-a.6.1400
  4. L. M. Sanchez-Brea, P. Siegmann, M. A. Rebollo, and E. Bernabeu, "Optical technique for the automatic detection and measurement of surface defects on thin metallic wires," Applied Optics, vol. 39, no. 4, pp. 539-545, Feb. 2000. https://doi.org/10.1364/AO.39.000539
  5. Z. Wen and Y. Tao, "Brightness-invariant image segmentation for on-line fruit defect detection," Optical Engineering, vol. 37, no. 11, pp. 2948-2952, Nov. 1998. https://doi.org/10.1117/1.601882
  6. J. P. Yun, Y. J. Jeon, D. C. Choi, and S. W. Kim, "Real-time defect detection of steel wire rods using wavelet filters optimized by univariate dynamic encoding algorithm for searches (uDEAS)," Journal of the Optical Society of America A, vol. 29, no. 5, pp. 797-807, May 2012. https://doi.org/10.1364/JOSAA.29.000797
  7. D. C. Choi, Y. J. Jeon, and S. W. Kim, "Faulty scarfing slab detection using machine vision," Advanced Materials Research, vol. 462, pp. 185-190, Feb. 2012. https://doi.org/10.4028/www.scientific.net/AMR.462.185
  8. Y. J. Jeon, D. C. Choi, J. P. Yun, and S. W. Kim, "Detection of periodic defects using dual-light switching lighting method on the surface of thick plates," ISIJ International, vol. 55, no. 9, pp. 1942-1949, Sep. 2015. https://doi.org/10.2355/isijinternational.ISIJINT-2015-053
  9. Y. J. Jang and J. S. Lee, "Development of a 3D shape reconstruction system for defects on a hot steel surface," Journal of Institute of Control Robotics and Systems, vol. 21, no. 5, pp. 459-464, 2015. https://doi.org/10.5302/J.ICROS.2015.14.0147
  10. J. P. Yun, C. H. Park, H. M. Bae, S. H. Choi, and J. H. Yun, "Micro defect detection of cold rolled steel using dual retro-schlieren technology," Proc. of 2014 29th ICROS Annual Conference (in Korean), Daegu, Korea, pp. 370-371, May 2014. pp. 370-371, 2014.