1 |
Belletti, B., Scolari, M. and Vecchi, F. (2017), "PARC_CL 2.0 crack model for NLFEA of reinforced concrete structures under cyclic loadings", Comput. Struct., 191,165-179.
DOI
|
2 |
Chen, H.J., Tai, P.H., Peng, C.F. and Yang, M.D. (2017), "Concrete crack rehabilitation using biological enzyme", Comput. Concrete, 19(4), 413-417.
DOI
|
3 |
Chen, T., Wu, Q.H., Rahmani-Torkaman, R. and Hughes, J. (2002), "A pseudo top-hat mathematical morphological approach to edge detection in dark regions", Pattern Recognit., 35(1), 199-210.
DOI
|
4 |
Gokhale, S. and Graham, J.A. (2004), "A new development in locating leaks in sanitary sewers", Tunn. Undergr. Space Technol., 19(1), 85-96.
DOI
|
5 |
Gonzalez, R.C., Woods, R.E. and Eddins, S.L. (2011), Digital Image Processing Using Matlab, 2nd Edition, McGraw-Hill, USA.
|
6 |
Iyer, S. and Sinha, S.K. (2005), "A robust approach for automatic detection and segmentation of cracks in underground pipeline images", Image Vis. Comput., 23(10), 921-933.
DOI
|
7 |
Janowski, A., Nagrodzka-Godycka, K., Szulwic, J. and Ziolkowski, P. (2016), "Remote sensing and photogrammetry techniques in diagnostics of concrete structures", Comput. Concrete, 18(3), 405-420,
DOI
|
8 |
Lee, J.H., Yoo, H.S., Kim, Y.S., Lee, J.B. and Cho, M.Y. (2006), "The development of a machine vision-assisted, teleoperated pavement crack sealer", Autom. Constr., 15(5), 616-626.
DOI
|
9 |
Mashford, J., Rahilly, M., Davis, P. and Burn, S. (2010), "A morphological approach to pipe image interpretation based on segmentation by support vector machine", Autom. Constr., 19(7), 875-883.
DOI
|
10 |
Metni, N. and Hamel, T. (2007), "A UAV for bridge inspection: Visual serving control law with orientation limits", Automat. Constr., 17(1), 3-10.
DOI
|
11 |
Oh, J.K., Jang, G., Oh, S., Lee, J.H., Yi, B.J., Moon, Y.S., Lee, J.S. and Choi, Y. (2009), "Bridge inspection robot system with machine vision", Automat. Constr., 18(7), 929-941.
DOI
|
12 |
Pan, N.F., Ko, C.H., Yang, M.D. and Hsu, K.C. (2011), "Pavement performance prediction through fuzzy regression", Exp. Syst. Appl., 38(8), 10010-10017.
DOI
|
13 |
Riveiro, B., Jauregui, D.V., Arias, P., Armesto, J. and Jiang, R. (2012), "An innovative method for remote measurement of minimum vertical under clearance in routine bridge inspection", Autom. Constr., 25, 34-40.
DOI
|
14 |
Shih, F.Y. (2010). Image Processing and Pattern Recognition, Wiley, New Jersey.
|
15 |
Sinha, S.K. and Fieguth, P.W. (2006), "Segmentation of buried concrete pipe images", Autom. Constr., 15(1), 47-57.
DOI
|
16 |
Su, T.C. (2013), "Application of computer vision to crack detection of concrete structure", IACSIT Int. J. Eng. Technol., 5(4), 457-461.
|
17 |
Su, T.C. (2015), "Segmentation of crack and open joint in sewer pipelines based on CCTV inspection images", ACSR-Adv. in Comput. Sci. Res., 9, 263-266.
|
18 |
Su, T.C. and Yang, M.D. (2014), "Application of morphological segmentation to leaking defect detection in sewer pipelines", Sensors., 14(5), 8686-8704.
DOI
|
19 |
Sun, L., Kamaliardakani, M. and Zhang, Y.M. (2016), "Weighted neighborhood pixels segmentation method for automated detection of cracks on pavement surface images", J. Comput. Civil. Eng., 30(2).
|
20 |
Su, T.C., Yang, M.D., Wu, T.C. and Lin, J.Y. (2011), "Morphological segmentation based on edge detection for sewer pipe defects on CCTV images", Expert Syst. Appl., 38(10), 13094-13114.
DOI
|
21 |
Tung, P.C., Hwang, Y.R. and Wu, M.C. (2002), "The development of a mobile manipulator imaging system for bridge crack inspection", Autom. Constr., 11(6), 717-729.
DOI
|
22 |
Victores, J.G., Martinez, S., Jardon, A. and Balaguer, C. (2011), "Robot-aided tunnel inspection and maintenance system by vision and proximity sensor integration", Autom. Constr., 20(5), 629-636.
DOI
|
23 |
Wang, T.T., Jaw, J.J., Chang, Y.H. and Jeng, F.S. (2009), "Application and validation of profile-image method for measuring deformation of tunnel wall", Tunn. Undergr. Space Technol., 24(2), 136-147.
DOI
|
24 |
Wendt, P.D., Coyle, E.J. and Gallagher, N.C. (1986), "Stack filters", IEEE Trans. Acoust. Speech Signal Pr., 34(4), 898-911.
DOI
|
25 |
Yan, H. (1996), "Unified formulation of a class of image thresholding techniques", Pattern Recogn., 29(12), 2025-2032.
DOI
|
26 |
Yang, M.D. and Su, T.C. (2006), "Automation model of sewerage rehabilitation planning", Water Sci. Technol., 54(11-12), 225-232,
DOI
|
27 |
Yang, M.D. and Su, T.C. (2007), "An optimization model of sewerage rehabilitation", J. Chin. Inst. Eng., 30(4), 651-659.
DOI
|
28 |
Yang, M.D. and Su, T.C. (2008), "Automated diagnosis of sewer pipe defects based on machine learning approaches", Exp. Syst. Appl., 35(3), 1327-1337.
DOI
|
29 |
Yang, M.D., Chen, Y.P., Su, T.C. and Lin, Y.H. (2017), "Sewer pipe defects diagnosis assessment using multivariate analysis on CCTV video imagery", Urban. Water J., 14(5), 475-482.
DOI
|
30 |
Yang, M.D. and Su, T.C. (2009), "Segmenting ideal morphologies of sewer pipe defects on CCTV images for automated diagnosis", Exp. Syst. Appl., 36(2), 3562-3573.
DOI
|
31 |
Yang, M.D., Lin, M.D., Lin, Y.H. and Tsai, K.T. (2017), "Multiobjective optimization design of green building envelope material using a non-dominated sorting genetic algorithm", Appl. Therm. Eng., 111, 1255-1264.
DOI
|
32 |
Yang, M.D., Su, T.C., Pan, N.F. and Liu, P. (2011a), "Feature extraction of sewer pipe defects using wavelet transform and co-occurrence matrix", Int. J. Wavelets Multi., 9(2), 211-225.
DOI
|
33 |
Yang, M.D., Su, T.C., Pan, N.F. and Yang, Y.F. (2011b), "Systematic image quality assessment for sewer inspection", Exp. Syst. Appl., 38(3), 1766-1776.
DOI
|
34 |
Yang, S.T., Li, K.F. and Li, C.Q. (2017), "Numerical determination of concrete crack width for corrosion-affected concrete structures", Comput. Struct.., https://doi.org/10.1016/j.compstruc.2017.07.016.
DOI
|
35 |
Yli-Harja, O., Astola, J. and Neuvo, Y. (1991), "Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation", IEEE Trans. Signal Pr., 39(2), 395-410.
DOI
|
36 |
Yu, S.N., Jang, J.H. and Han, C.S. (2007), "Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel", Autom. Constr., 16(3), 255-261.
DOI
|
37 |
Zhu, Z., German, S. and Brilakis, I. (2010), "Detection of large-scale concrete columns for automated bridge inspection", Autom. Constr., 19(8), 1047-1055.
DOI
|
38 |
Yun, H.B., Mokhtari, S. and Wu, L.L. (2015), "Crack recognition and segmentation using morphological image-processing techniques for flexible pavements", Transp. Res. Rec., 2523, 115-124.
DOI
|