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A Technique for Pattern Recognition of Concrete Surface Cracks
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 Title & Authors
A Technique for Pattern Recognition of Concrete Surface Cracks
Lee Bang-Yeon; Park Yon-Dong; Kim Jin-Keun;
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This study proposes a technique for the recognition of crack patterns, which includes horizontal, vertical, diagonal(), diagonal(), and random cracks, based on image processing technique and artificial neural network. A MATLAB code was developed for the proposed image processing algorithm and artificial neural network. Features were determined using total projection technique, and the structure(no. of layers and hidden neurons) and weight of artificial neural network were determined by learning from artificial crack images. In this process, we adopted Bayesian regularization technique as a generalization method to eliminate overfitting Problem. Numerical tests were performed on thirty-eight crack images to examine validity of the algorithm. Within the limited tests in the present study, the proposed algorithm was revealed as accurately recognizing the crack patterns when compared to those classified by a human expert.
concrete crack;crack detection;crack pattern;image processing;neural network;
 Cited by
시설안전기술공단, '콘크리트 구조물의 균열평가기법 및 보수.보강 전문시방서의 개발', 1999

Kim, Y.S, Haas and C.T., 'An Algorithm for Automatic Crack Detection, Mapping and Representation', KSCE Journal of Civil Engineering, Vol.4, No.2, 2000, pp. 103-111

이방연, 김윤용, 김진근, '개선된 이진화와 형상분석 기법을 응용한 콘크리트 표면 균열의 화상처리 알고리즘 개발', 콘크리트학회 논문집, 17권, 3호, 2005, pp.361-368

Richard O.D., Peter, E.H., and David. G.S., 'Pattern Classification', 2nd ed., John Wiley & Sons, Inc., 2001

Gonzalez, R.C. and Woods, R.E., 'Digital Image Processing', 2nd ed., John Wiley & Sons, Inc., Longman, 1992

Otsu, N.A. 'Threshold Selection Method from Gray Level Histogram', IEEE Transactions on Systems, Man, and Cybernetics, Vol.SMC-9, No.1, 1979, pp.62-66

Ammouche, A., Breysse, D., Romain, H., Didry, O., and Marchand J., 'A New Image Analysis Technique for The Quantitative Assessment of Microcracks in Cement-Based Materials', Cement and Concrete Research, Vol.30, No.1, 2000, pp.25-35 crossref(new window)

Stroeven, P., 'Some Aspects of the Micromechanics of Concrete', Ph. D. Thesis, Stevin Laboratory, Technological University of DELFT, 1973

Mackay, D.J.C., 'Bayesian interpolation', Neural Computation, Vol.4, No.3, 1992, pp.415-447 crossref(new window)

Foresee, F.D. and Hagan, M.T., 'Gauss-Newton approximation to Bayesian Regularization', Proedings of the 1997 International Joint Conference on Neural Networks, 1997, pp.1930-1935