DOI QR코드

DOI QR Code

Intensity Similarity Analysis between Intensity Simulated Crack and Actual Crack according to Shooting Condition

명암 묘사 균열과 실제 균열의 촬영 조건에 따른 명암적 유사성 분석

  • Received : 2016.02.17
  • Accepted : 2016.03.10
  • Published : 2016.04.30

Abstract

Intensity simulated cracks were widely used to verify the performance of the image-based crack inspection algorithm. Intensity simulated crack is defined to the crack to only simulate the intensity of cracks using color and printed papers. The similarity between actual crack and intensity simulated crack was not fully verified yet. In this study, the differences between the actual cracks and intensity simulated cracks were analyzed by focusing on the intensity. Two types of crack to simulate the intensity and geometry were theoretically analyzed using a reflection model, and prepared for the experiment. According to the different angle of the camera and light, the images of the crack specimen were captured. Using that images, the effect of the shooting condition on the view of the intensity were analyzed. The intensity profile image of the shape simulated crack was affected by the angle change of the camera and the light, but in case of the intensity simulated crack the angle of the light did not have a notable effect.

Keywords

Intensity simulated crack;Shooting condition;Reflection model;Crack intensity

References

  1. Amarasiri, S., Gunaratne, M., and Sarkar, S. (2011) Use of Digital Image Modeling for Evaluation of Concrete Pavement Macrotexture and Wear. Journal of Transportation Engineering, Vol. 138, No. 5, pp. 589-602.
  2. Cho, H.W., Yoon, H.J., and Park, J.J. (2014) An Experimental Study on Crack Recognition Characteristics of Concrete Structure based on Image Analysis according to Illuminance and Measurement Distance. Journal of the Korean Society of Hazard Mitigation, Vol. 14, No. 1, pp. 85-91.
  3. Ha, J.E., Lee, J.Y., and Kweon, I.S. (1996) Extraction of Tire Information Markings Using a Surface Reflection Model. Journal of Institute of Control Robotics and Systems, Vol. 2, No. 4, pp. 324-329.
  4. He, X.D., Torrance, K.E., Sillion, F.X., and Greenberg, D.P. (1991) A comprehensive physical model for light reflection. ACM SIGGRAPH Computer Graphics, Vol. 25, No. 4, pp. 175-186. https://doi.org/10.1145/127719.122738
  5. Jahanshahi, M.R., Masri, S.F., Padgett, C.W., and Sukhatme, G.S. (2013) An innovative methodology for detection and quantification of cracks through incorporation of depth perception. Machine Vision and Applications, Vol. 24, No. 2, pp. 227-241. https://doi.org/10.1007/s00138-011-0394-0
  6. Phong, B.T. (1975) Illumination for computer generated pictures. Communications of the ACM, Vol. 18, No. 6, pp. 311-317. https://doi.org/10.1145/360825.360839

Acknowledgement

Supported by : 국토교통과학기술진흥원