DOI QR코드

DOI QR Code

영상처리 기법을 이용한 주탑의 변위 측정

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

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.

키워드

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.