한국소음진동공학회논문집 (Transactions of the Korean Society for Noise and Vibration Engineering)

  • 제19권9호
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  • Pages.943-949
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  • 2009
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  • 1598-2785(pISSN)
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  • 2287-5476(eISSN)
한국소음진동공학회 (The Korean Society for Noise and Vibration Engineering)
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영상 신호에서 커브 피팅을 이용한 구조물 진동 측정

Measuring Structural Vibration from Video Signal Using Curve Fitting

  • 발행 : 2009.09.20
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초록

Many studies for measuring vibration using image signal are suggested. These methods can measure vibration of multi-points simultaneously. However, it has the disadvantage that is very sensitive to an environment. If the measured environment is not good, image signals can be measured including much background noise. So, it is difficult to obtain accurate vibration from the measured image signals. Another problem is that camera imaging has a resolution limit. Because the resolution of the camera image is relatively much lower than that of a data acquisition system, accurate measuring vibration cannot be performed. In this paper, we proposed the enhanced technique for measuring vibration using camera signal. The key word of this paper is a curve fitting. The curve fitting can exactly detect the measurement line of interested object. So, we can measure the vibration in noisy environment. Also, it can overcome the resolution limit.

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참고문헌

  1. Lee, S. B. and Kwak, M. K., 2000, “Development of Vibration Measurement Technique Using the Image Processing,” Proceedings of the KSNVE Annual Autumn Conference, pp. 327-329
  2. Kim, K. Y. and Kwak, M. K., 2005, “Measurement of Large-amplitude and Low-frequency Vibrations of Structures Using the Image Processing Method,” Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 15, No. 3, pp. 329-333 https://doi.org/10.5050/KSNVN.2005.15.3.329
  3. Jeon, H. S., Choi, Y. C. and Park, J. W., 2008, “Displacement Measurement of Multi-point Using a Pattern Recognition from Video Signal,” Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 18, No. 12, pp. 1256-1261 https://doi.org/10.5050/KSNVN.2008.18.12.1256
  4. Wahbeh, A. M., Caffrey, J. P. and Masri, S. F., 2003, “A Vision-based Approach for the Direct Measurement of Displacements in Vibrating Systems,” Smart Structures and Materials, Vol. 12, pp. 785-794 https://doi.org/10.1088/0964-1726/12/5/016
  5. Sobel, I. and Feldman, G., “A 3×3 Isotropic Gradient Operator for Image Processing,” Presented at a Talk at the Stanford Artificial Project in 1968, Unpublished but Often Cited, Orig. in Pattern Classification and Scene Analysis, Duda, R. and Hart, P., John Wiley and Sons,'73, p. 271-2
  6. Parker, J. R., 1997, “Algorithms for Image Processing and Computer Vision,” John Wiley &Sons, New York
  7. Gonzalez, R. C. and Woods, R. E., 1992, “Digital Image Processing,” Addison Wesley
  8. Kreyszig, E., 1993, “Advanced Engineering Mathematics 7ed,” New York: John Wiley & Sons, INC.

피인용 문헌

  1. A Technique for Measuring Vibration Displacement Using Camera Image vol.23, pp.9, 2013, https://doi.org/10.5050/KSNVE.2013.23.9.789
  2. A Technique for Vibration Measurement and Roundness Assessment of Rotating-axis using Camera Image vol.24, pp.2, 2014, https://doi.org/10.5050/KSNVE.2013.24.2.131