Concrete CT Image Modified Metropolis Dynamics Segmentation Method Based on Markov Random Field

ZHAO Liang; LI Chang-hua; DANG Fa-ning; CHEN Deng-feng; XU Sheng-jun

[1] YANG G S, XIE D Y, ZHANG C Q. CT identification of rock damage properties［J］. Rock Mechanics and Engineering, 1996, 15(1): 48-54.

[2] TIAN Wei, DANG Fa-ning, LIANG Ting-yu. CT image analysis of meso fracture process of concrete［J］. Engineering Journal of Wuhan University, 2008, 41(2): 69-72.

[3] ZHU Yu, JIANG Lin-jia. Synthesis tracing algorithm for region localization of sem image［J］. Acta Photonica Sinica, 2008, 37(2): 391-394.

[4] ZHANG Ju, HE Xiao-hai. Restoration of 3-Dimensional microscopical images based on markov random field with adaptive regularization parameter［J］. Acta Photonica Sinica, 2008, 37(6): 1272-1276.

[5] JIANG Yuan, BAI Wei, PENG Gang. Edge detection of concrete mesostructure with CT image［J］. Engineering Journal of Wuhan University, 2008, 1(41): 77-80.

[6] JENG F C, WOODS J M. Compound gauss-markov random fields for image estimation［J］. IEEE Trans on Acoust Speech and Signal Proc, 1991, 39(3): 638-697.

[7] METROPOLIS N, ROSENBLUTH A, ROSENBLUTH M, et al. Equation of state calculations by fast computing machines［J］.Chem Physics, 1953, 21(2): 1087-1092.