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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of Displacement Measurement System of Structures Using Image Processing Techniques

영상처리기술을 이용한 구조물의 변위 측정 시스템의 개발

  • 김성욱 (부경대학교 기계공학과) ;
  • 김상봉 (부경대학교 기계공학) ;
  • 서진호 (부경대학교 해양산업개발연구소)
  • Published : 2004.08.01
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Abstract

In this paper, we develop the displacement measurement system of multiple moving objects based on image processing techniques. The image processing method adopts inertia moment theory for obtaining the centroid measurement of the targets and basic processing algorithm of gray, binary, closing, labeling and so on. To get precise displacement measurement in spite of multiple moving targets, a CGD camera with zoom is used and the position of camera is changed by a pan/tilt system. The fiducial marks on the fixed positions are used as the sensing points for the image processing to recognize the position errors in direction of XY-coordinates. The precise alignment device is pan/tilt of XY-type and the pan/tilt is controlled by DC servomotors which are driven by a microprocessor. Morover, the centers of fiducial marks are obtainted by an inertia moment method. By applying the developed precise position control system for multiple targets, the displacement of multiple moving targets are detected automatically and are also stored in the database system in a real time. By using database system and internet, the displacement datum can be confirmed at a great distance and analyzed. Finally, the effectiveness of developed system is shown in experimental results and realized the precision about 0.12[mm] in the position control of XY-coordinates.

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References

  1. S. Chakravarthy, R. Sharma, and R. Kasturi, 'Noncontact level sensing technique using computer vision, Instrumentation and Measurement,' IEEE Trans. on Instrumentation and Measurement, vol. 51, no. 2, pp. 353-361, 2002 https://doi.org/10.1109/19.997837
  2. H. Hasegawa, et al., 'Automated detection of damaged buildings using aerial HDTV images,' Proc. of Geoscience and Remote Sensing Symposium, pp. 310-312, 2000 https://doi.org/10.1109/IGARSS.2000.860502
  3. G. S. Chowdhury, M. H. and W. D. Little, 'Image thresholding techniques,' Proc. of IEEE Pacific Rim Conf. on Communications, Computer, and Signal Processing, pp. 585-589, 1995 https://doi.org/10.1109/PACRIM.1995.519599
  4. L. Jianzbuang, L. Wenqing and T. Yupeng, 'Automatic thresholding of gray-level pictures using two-dimensional ostu Method,' Proc. of International Conf. on Circuits and Systems, pp. 325-327, 1991
  5. N. Otsu, 'A threshold selection method from gray-level histograms,' IEEE Trans. on System, Man, and Cybern, vol. 9, no. 5, pp. 62-66, 1979 https://doi.org/10.1109/TSMC.1979.4310076
  6. I. Pitas, Digital image processing algorithms, Prentice Hall, N. Y., pp. 254-281, 1993
  7. K. R. Castleman, Digital image processing, Prentice Hall, Englewood Cliffs, New Jersey, pp. 123-645, 1996
  8. R. C. Gonzalez, R. E. Woods, Digital image processing, Addison Wesley, pp. 413-478, 1993
  9. S. W. Kim, Y. B. Jeon, N. S. Jeong and S. B. Kim, 'Realtime displacement measurement system for multiple moving objects based on image processing technique,' Proc. of the 8th conference on science and technology, pp. 107-112, 2002
  10. 김성욱, 서진호, 김상봉, '영상처리기술을 이용한 건축 구조물의 실시간 변위측정 시스템의 개발,' 대한기계학회 춘계학술대회 논문집, pp. 764-769, 2003