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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 18 — Jun. 20, 2013
  • pp: 4385–4390

Image processing for safety assessment in civil engineering

Belen Ferrer, Juan C. Pomares, Ramon Irles, Julian Espinosa, and David Mas  »View Author Affiliations


Applied Optics, Vol. 52, Issue 18, pp. 4385-4390 (2013)
http://dx.doi.org/10.1364/AO.52.004385


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Abstract

Behavior analysis of construction safety systems is of fundamental importance to avoid accidental injuries. Traditionally, measurements of dynamic actions in civil engineering have been done through accelerometers, but high-speed cameras and image processing techniques can play an important role in this area. Here, we propose using morphological image filtering and Hough transform on high-speed video sequence as tools for dynamic measurements on that field. The presented method is applied to obtain the trajectory and acceleration of a cylindrical ballast falling from a building and trapped by a thread net. Results show that safety recommendations given in construction codes can be potentially dangerous for workers.

© 2013 Optical Society of America

OCIS Codes
(120.4290) Instrumentation, measurement, and metrology : Nondestructive testing
(100.4999) Image processing : Pattern recognition, target tracking

ToC Category:
Image Processing

History
Original Manuscript: February 15, 2013
Revised Manuscript: April 10, 2013
Manuscript Accepted: May 21, 2013
Published: June 19, 2013

Citation
Belen Ferrer, Juan C. Pomares, Ramon Irles, Julian Espinosa, and David Mas, "Image processing for safety assessment in civil engineering," Appl. Opt. 52, 4385-4390 (2013)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-52-18-4385


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References

  1. B. Ferrer, J. Espinosa, J. Perez, S. Ivorra, and D. Mas, “Optical scanning for structural vibration measurement,” Res. Nondestruct. Eval. 22, 61–75 (2011). [CrossRef]
  2. H. N. Nassif, M. Gindy, and J. Davis, “Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration,” NDT & E Int. 38, 213–218 (2005). [CrossRef]
  3. D. Mas, J. Espinosa, A. B. Roig, B. Ferrer, J. Perez, and C. Illueca, “Measurement of wide frequency range structural microvibrations with a pocket digital camera and sub-pixel techniques,” Appl. Opt. 51, 2664–2671 (2012). [CrossRef]
  4. EN 13374 “Temporary edge protection systems—product specification, test methods,” European Commitee for Standardization (2004).
  5. J. C. Pomares, E. G. Segovia, and R. Irles, “Personal protection rails for strong impacts,” in Fourth International Conference on Safety and Security Engineering (SAFE, 2011).
  6. M. Voshell, “High acceleration and the human body,” http://csel.eng.ohio-state.edu/voshell/gforce.pdf .
  7. R. Irles and J. C. Pomares, “Sistema de protección de bordes para barandillas tipo B y tipo C,” Patent pending no. P201130987 (14June2011).
  8. Matlab image processing toolbox (Mathworks Inc.), http://www.mathworks.es/help/toolbox/images/ .
  9. R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital Image Processing Using MATLAB (Prentice-Hall, 2003).
  10. L. Shapiro and G. Stockman, Computer Vision (Prentice-Hall, 2001).
  11. B. Ferrer, J. C. Pomares, R. Irles, J. Espinosa, and D. Mas, “High speed image techniques for construction safety net monitoring in outdoor conditions,” Proc. SPIE 8436, 84361B (2012). [CrossRef]

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