Acknowledgement
Supported by : Korea Institute of Energy Technology Evaluation and Planning (KETEP)
References
- S.B. Lee, M.K. Kwak, Development of Vibration Measurement Technique Using the Image Processing, Proceedings of the KSNVE Annual Autumn Conference, 2000, pp. 327-329.
- K.Y. Kim, M.K. Kwak, Measurement of large-amplitude and low-frequency vibrations of structures using the image processing method, Trans. Korean Soc. Noise Vibration Eng. 15 (2005) 329-333. https://doi.org/10.5050/KSNVN.2005.15.3.329
- A.M. Wahbeh, J.P. Caffrey, S.F. Masri, A vision-based approach for the direct measurement of displacements in vibrating systems,, Smart Structures Mater. 12 (2003) 785-794. https://doi.org/10.1088/0964-1726/12/5/016
- H.S. Jeon, Y.C. Choi, J.W. Park, Displacement measurement of multi-point using a pattern recognition from video signal, Trans. Korean Soc. Noise Vibration Eng. 18 (2008) 1256-1261. https://doi.org/10.5050/KSNVN.2008.18.12.1256
- H.S. Jeon, Y.C. Choi, J.W. Park, Measurement structural vibration from video signal using curve fitting, Trans. Korean Soc. Noise Vibration Eng. 19 (2009) 943-949. https://doi.org/10.5050/KSNVN.2009.19.9.943
- K.S. Son, H.S. Joen, J.H. Park, J.W. Park, A technique for measuring vibration displacement using camera image, Trans. Korean Soc. Noise Vibration Eng. 23 (2013) 789-796. https://doi.org/10.5050/KSNVE.2013.23.9.789
- R.C. Gonzalez, R.E. Woods, Digital Image Processing, second ed., Addison Wesley, 2002. International edition.
- D. Marr, E. Hildreth, Theory of edge detection, Proc. R. Soc. Lond. Series B, Biol. Sci. 207 (1980) 187-217. https://doi.org/10.1098/rspb.1980.0020
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