DOI QR코드

DOI QR Code

Automated segmentation of concrete images into microstructures: A comparative study

  • Yazdi, Mehran (Department of Electronics and Computer Engineering,Shiraz University) ;
  • Sarafrazi, Katayoon (Department of Electronics and Computer Engineering,Shiraz University)
  • Received : 2013.12.14
  • Accepted : 2014.07.13
  • Published : 2014.09.30

Abstract

Concrete is an important material in most of civil constructions. Many properties of concrete can be determined through analysis of concrete images. Image segmentation is the first step for the most of these analyses. An automated system for segmentation of concrete images into microstructures using texture analysis is proposed. The performance of five different classifiers has been evaluated and the results show that using an Artificial Neural Network classifier is the best choice for an automatic image segmentation of concrete.

Keywords

References

  1. Ammouche, A., Riss, J., Breysse, D. and Marchand, J. (2001), "Image analysis for the automated study of microcracks in concrete", Cement Concrete Compos., 23(2), 267-278. https://doi.org/10.1016/S0958-9465(00)00054-8
  2. Bernstone, C. and Heyden, A. (2009), "Image analysis for monitoring of crack growth in hydropower concrete structures", Measurement, 42(6), 878-893. https://doi.org/10.1016/j.measurement.2009.01.007
  3. Carloni, C. and Subramaniam, K.V. (2013), "Investigation of sub-critical fatigue crack growth in FRP/concrete cohesive interface using digital image analysis", Compos. Part B: Eng., 51, 35-43. https://doi.org/10.1016/j.compositesb.2013.02.015
  4. Chen, Z., Derakhshani, R., Halmen, C. and Kevern, J.T. (2011), "A texture-based method for classifying cracked concrete surfaces from digital images using neural networks", Paper presented at the Neural Networks (IJCNN), The 2011 International Joint Conference on.
  5. Dequiedt, A.S., Coster, M., Chermant, L. and Chermant, J.L. (2001), "Study of phase dispersion in concrete by image analysis", Cement Concrete Compos., 23(2), 215-226. https://doi.org/10.1016/S0958-9465(00)00060-3
  6. Dequiedt, A.-S., Redon, C., Chermant, J.L., Chermant, L. and Coster, M. (2013), Characterisation of diffusion paths of water in concrete by color image analysis, Acta Stereologica, 18(2).
  7. Duda, R.O., Hart, P. E. and Stork, D.G. (2012), Pattern classification: John Wiley & Sons.
  8. Feng, X., Garboczi, E., Bentz, D., Stutzman, P. and Mason, T.O. (2004), "Estimation of the degree of hydration of blended cement pastes by a scanning electron microscope point-counting procedure", Cement Concrete Res., 34(10), 1787-1793. https://doi.org/10.1016/j.cemconres.2004.01.014
  9. Glinicki, M., & Litorowicz, A. (2006), "Crack system evaluation in concrete elements at mesoscale", Tech. Sci., 54(4).
  10. Haralick, R.M., Shanmugam, K. and Dinstein, I.H. (1973), "Textural features for image classification", Systems, Man and Cybernetics, IEEE Transactions on, (6), 610-621.
  11. Liang, Z., Changhua, L., Dengfeng, C. and Faning, D. (2009), Concrete CT Image Segmentation Using Modified Metropolis Dynamics, Paper presented at the Image and Signal Processing, 2009. CISP'09. 2nd International Congress on.
  12. Litorowicz, A. (2006), "Identification and quantification of cracks in concrete by optical fluorescent microscopy", Cement Concrete Res., 36(8), 1508-1515. https://doi.org/10.1016/j.cemconres.2006.05.011
  13. Martins, A., Pizolato Junior, J. and Belini, V. (2013), "Image-based method for monitoring of crack opening on masonry and concrete using mobile platform. Revista IBRACON de estruturas e materiais", 6(3), 414-435. https://doi.org/10.1590/S1983-41952013000300006
  14. Petrou, M., Sevilla, P.G. and Wiley, J. (2006), Image processing: dealing with texture (Vol. 10): Wiley Chichester.
  15. Redon, C., Chermant, L., Chermant, J.L. and Coster, M. (1999), "Automatic image analysis and morphology of fibre reinforced concrete", Cement Concrete Compos., 21(5), 403-412. https://doi.org/10.1016/S0958-9465(99)00025-6
  16. Ringot, E. and Bascoul, A. (2001), "About the analysis of microcracking in concrete", Cement Concrete Compos, 23(2), 261-266. https://doi.org/10.1016/S0958-9465(00)00056-1
  17. Sarafrazi, K., Yazdi, M. and Abedini, M.J. (2013), "A new image texture segmentation based on contourlet fractal features", Arabian J. Sci. Eng., 38(12), 3437-3449. https://doi.org/10.1007/s13369-013-0624-z
  18. Shamshad, A., Johari, M.M., Hussin, W.W., Sanusi, S.M. and Majid, T. (2013), "Digital image analysis of cracks in concrete of different grades", Flood Risk Management: Research and Practice: Extended Abstracts Volume (332 pages)+ full paper CD-ROM, 212.
  19. Silva, A.G., de Alencar Lotufo, R. and Flores, F.C. (2002), "Classification of microstructures by morphological analysis and estimation of the hydration degree of cement paste in concrete", Paper presented at the Computer Graphics and Image Processing, 2002. Proceedings, XV Brazilian Symposium on.
  20. Soroushian, P. and Elzafraney, M. (2005), "Morphological operations, planar mathematical formulations, and stereological interpretations for automated image analysis of concrete microstructure", Cement Concrete Compos., 27(7), 823-833. https://doi.org/10.1016/j.cemconcomp.2004.07.008
  21. Soroushian, P., Elzafraney, M. and Nossoni, A. (2003), "Specimen preparation and image processing and analysis techniques for automated quantification of concrete microcracks and voids", Cement Concrete Res., 33(12), 1949-1962. https://doi.org/10.1016/S0008-8846(03)00219-9
  22. Tuceryan, M. and Jain, A.K. (1993), Texture analysis. Handbook of pattern recognition and computer vision, 276.
  23. Wong, H., Head, M. and Buenfeld, N. (2006), "Pore segmentation of cement-based materials from backscattered electron images", Cement Concrete Res., 36(6), 1083-1090. https://doi.org/10.1016/j.cemconres.2005.10.006
  24. Yang, R. and Buenfeld, N. (2001), "Binary segmentation of aggregate in SEM image analysis of concrete", Cement Concrete Res., 31(3), 437-441. https://doi.org/10.1016/S0008-8846(00)00493-2

Cited by

  1. Digital Analysis of Geo-Referenced Concrete Scanning Electron Microscope (SEM) Images vol.30, pp.2, 2014, https://doi.org/10.2478/ceer-2020-0020