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Development of Image Processing for Concrete Surface Cracks by Employing Enhanced Binarization and Shape Analysis Technique
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 Title & Authors
Development of Image Processing for Concrete Surface Cracks by Employing Enhanced Binarization and Shape Analysis Technique
Lee Bang-Yeon; Kim Yun-Yong; Kim Jin-Keun;
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 Abstract
This study proposes an algorithm for detection and analysis of cracks in digital image of concrete surface to automate the measurement process of crack characteristics such as width, length, and orientation based on image processing technique. The special features of algorithm are as follows: (1) application of morphology technique for shading correction, (2) improvement of detection performance based on enhanced binarization and shape analysis, (3) suggestion of calculation algorithms for width, length, and orientation. A MATLAB code was developed for the proposed algorithm, and then test was performed on crack images taken with digital camera to examine validity of the algorithm. Within the limited test in the present study, the proposed algorithm was revealed as accurately detecting and analyzing the cracks when compared to results obtained by a human and classical method.
 Keywords
concrete crack;crack detection;crack analysis;crack width;image processing;
 Language
Korean
 Cited by
1.
콘크리트 표면 균열 패턴인식 기법 개발,이방연;박연동;김진근;

한국콘크리트학회논문집, 2005. vol.17. 3, pp.369-374 crossref(new window)
2.
Extraction of Characteristics of Concrete Surface Cracks,;

Journal of information and communication convergence engineering, 2007. vol.5. 2, pp.126-130
3.
A Study on the Recognition of Concrete Cracks using Fuzzy Single Layer Perceptron,;

Journal of information and communication convergence engineering, 2008. vol.6. 2, pp.204-206
4.
디지털 화상처리 기법을 이용한 콘크리트 표면 균열 계측,김윤용;이방연;

한국전산구조공학회학회지:전산구조공학, 2010. vol.23. 3, pp.80-86
1.
Mobile Robots for the Concrete Crack Search and Sealing, Journal of Korea Robotics Society, 2016, 11, 2, 60  crossref(new windwow)
 References
1.
강준묵, 오영철, 엄대용, '수치영상처리에 의한 콘크리트 구조물의 균열정보 획득', 대한토목학회논문집, 22권 5-D호, 2002, pp.1001-1010

2.
Schutter, G. D., 'Advanced Monitoring of Cracked Structures Using Video Microsccpe and Automated Image Analysis', NDT & E International: Independent Nondestructive Testing and Evaluation, Vol.35, No.4, 2002, pp.200-212

3.
Doihara, T., Hirano, K., and Oda, K., 'Crack Measuring System Based on Hierarchical Image Processing Technique', International Archives of Photogrammetry and Remote Sensing, Vol.29 No.5, 1993, pp.155-159

4.
Ito, A., Aoki, Y., and Hashimoto, S., 'Accurate Extraction and Measurement of Fine Cracks from Concrete Block Surface Image', IEEE Industrial Electronics Society, Vol.3, 2002, pp.2202-2207

5.
Kaseko. M. S. and Ritchie, S. G., 'A Neural Network Based Methodology for Pavement Crack Detection and Classification', Transportation Research Part C, Emerging Technologies, Vol.1, No.4, 1993, pp.275-291 crossref(new window)

6.
Tung, P. C., Hwang, Y. R., and Wu, M. C., 'The Development of a Mobile manipulator Imaging System for Bridge Crack Inspection', Automation in Construction, Vol.11, No.6, 2002, pp.717-729 crossref(new window)

7.
Liu, Z., Suandi, S. A., Ohashi, T., and Ejima, T., 'A Tunnel Crack Detection and Classification Systems Based on Image Processing', Proceedings of SPIE- The International Society for Optical Engineering, No. 4664, 2002, pp.145-152

8.
Amrnouche, A., Breysse, D., Homain, H., Didry, O., and Marchand, J., 'A New Image Analysis Tech- nique for The Quantitative Assessment of Micro-cracks in Cement-Based Materials', Cement and Concrete Research, Vol.30, No.1, 2000, pp.25-35 crossref(new window)

9.
Gonzalez, R. C. and Woods, R. E., 'Digital Irmge Processing', 2nd ed., Addison Wesley, New York, 1992

10.
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

11.
Seul, M., O'Gorman, L., and Sammon, M. J., 'Practical Algorithms for Image Analysis', Cambridge University Press, New York, 2000

12.
Haralick, R. M. and Linda, G. S., 'Computer and Robot Vision', Vol.I, Addison-Wesley, 1992, pp.28-48

13.
Jain, A. K, 'Fundamental of Digital Image Processing', Prentice Hall, USA, 1989, 383pp