복합신소재구조학회 논문집 (Journal of the Korean Society for Advanced Composite Structures)

  • 제6권3호
  • /
  • Pages.20-25
  • /
  • 2015
  • /
  • 2093-5145(pISSN)
  • /
  • 2288-0232(eISSN)
한국복합신소재구조학회 (Korean Society for Advanced Composite Structures)
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Displacement Measurement of Pylon using Image Processing Technique

  • 손병직 (건양대학교 해외건설플랜트학과) ;
  • 전승곤 (충남대학교 토목공학과) ;
  • 허광희 (건양대학교 해외건설플랜트학과)
  • Son, Byung Jik (Department of International Civil & Plant Engineering, Konyang University) ;
  • Jeon, Seung Gon (Department of Civil Engineering, Chungnam National University) ;
  • Heo, Gwang Hee (Department of International Civil & Plant Engineering, Konyang University)
  • 투고 : 2015.07.07
  • 심사 : 2015.08.14
  • 발행 : 2015.09.30
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초록

This paper introduces a digital image processing(DIP) method as a method for measuring the displacement of pylon. The comparison of DIP results and ANSYS analysis results verified the validity of the image processing technique. Normalized cross-correlation(NCC) coefficient was used and experiments were performed three times. It shows that the displacement difference was 22% and 5% compared to ANSYS results. Therefore, the image processing method is expected to be able to measure the displacement of pylon sufficiently.

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참고문헌

  1. Matlab R2014b (2014), "Image Processing Toolbox".
  2. ANSYS 15.0 (2014), "Mechanical APDL".
  3. Lewis, J. P. (1995) "Fast Normalized Cross-Correlation," Industrial Light & Magic.
  4. N. Otsu (1979), "A threshold selection method from gray-level histograms," in IEEE Trans. Syst., Man, Cybern., vol. 9, pp. 62-66. https://doi.org/10.1109/TSMC.1979.4310076
  5. M. M. Fraz, M. Javed, and A. Basit (2008), "A threshold selection method from gray-level histograms," in 4th IEEE International Conference on Emerging Technologies, pp. 232-236.
  6. Son, B. J., Lee, S. Y. (2015), "Study on Fracture Area Measurement of Tension Specimen using Digital Image Processing", The Conference of The Korean Society for Advanced Composite Structures, pp. 45-46.