Image-based retrieval of concrete crack properties

2012 Proceedings of the 29th International Symposium of Automation and Robotics in Construction, ISARC 2012

Volumn , Issue , 2012, Pages

  Adhikari, R S ^a   Moselhi, O ^a   Bagchi, A ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

Concrete bridge crack; Crack properties; Image skeleton; Image stitching

Indexed keywords

BINARY IMAGES; CONCRETE BRIDGES; CONCRETES; CRACK DETECTION; ITERATIVE METHODS; MUSCULOSKELETAL SYSTEM; VISUALIZATION;

CONCRETE BRIDGE CRACK; CONCRETE CRACKS; CRACK PROPERTY; IMAGE PROCESSING TECHNIQUE; IMAGE SKELETON; IMAGE STITCHING; IMAGE-BASED; NEAR FIELDS; PROPERTY; PROPERTY-BASED;

IMAGE ENHANCEMENT;

EID: 85184643152     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4017/gt.2012.11.02.458.00     Document Type: Conference Paper

References (22)

1. Federal Highway Administration (FHWA), Bridge Inspections Training Manual, July 1991.
2. Bridge Maintenance Training Manual, US Federal Highway Administration, FHWAHI-94-034, Prepared by Wilbur Smith Associates, 1992.
3. Lee, J.H., Lee, J.M., Kim, H.J., Moon, Y.S., "Machine vision system for automatic inspection of bridges,", IEEE Computer Society, pp. 363-366, 2008.
4. Ministry of Transportation, "Ontario Structure Inspection manual,", Policy, Planning & Standards Division, Engineering Standard branch, April 2008.
5. Abdel-Qader, I., Abudayyeh, O., Kelly, M.E., "Analysis of edge-detection techniques for crack identification in bridges,", Journal of Computing in Civil Engineering, Vol. 17(4), pp. 255-263, 2003.
6. Abdel-Qader, I., Pashaie-Rad, S., Abudayyeh, O., Yehia, S., "PCA-based algorithm for unsupervised bridge crack detection,", Advances in Engineering Software, Vol. 37(12), pp. 771-778, 2006.
7. Cheng, H., Shi, X., Glazier, C., "Real-time image thresholding based on sample space reduction and interpolation approach,", Journal of Computing in Civil Engineering, Vol. 17(4), pp. 264-272, 2003.
8. Yamaguchi, T., Hashimoto, S., "Fast crack detection method for large-size concrete surface images using percolation-based image processing,", Machine Vision and Applications, Vol. 11(5), pp. 797-809, 2009.
9. Zhu, Z., German, S., Brilakis, I., "Detection of large-scale concrete columns for automated bridge inspection,", Automation in construction, Vol. 19, pp. 1047-1055, 2010.
10. Lowe, D., "Distinctive image features from scale-invariant key points,", Int. J. of Comp. Vision, 60(2), 91-110, 2004.
11. Tong, Z., Guo, J., Ling, Y., Yin, Z., A new image-based method for concrete bridge bottom crack detection, Image analysis and signal processing, 2011.
12. Tian, Q., Huhns, M.N., "Algorithms for SubPixel Registration,", Computer Vision, Graphics and Image Processing, Vol. 35, pp. 220-233, 1986.
13. Yamaguchi, T., Hashimoto, S., "Practical image measurement of crack width for real concrete strcture,", Electronics and communications in Japan, Vol. 127-C(4), pp. 605-614, 2007.
14. Dare, P.M., Hanley, H.B., Fraser, C.S., Riedel, B., Niemeier, W., "An operational application of automatic feature extraction: the measurement of crackd in concrete structures,", Photogrammmetric Record, Vol. 17(99), pp. 453-464, 2002.
15. Laptev, I., Mayer, H., Linderberg, T., Eckstein, W., Steger, C., Maumgartner, A., "Automatic extraction of roads from aerial images based on scale space and snakes,", Machine vision and Application, Vol. 12(1), pp. 23-31, 2000.
16. Miyamoto, A., Konno, M-A., Bruhwiler, E., "Automatic Crack Recognition System for Concrete Structures Using Image Processing Approach,", Asian J. of Information technology, Vol. 6(5), pp. 553-561, 2007.
17. Office of the Auditor General of Ontario, Auditor General releases his 2011 Annual Report, 2011.
18. Brown, M., Lowe, D., "Automatic panoramic image stitching using invariant features,", International Journal of Computer Vision, Vol. 74(1), pp. 59-73, 2007.
19. Biswas, P.K., Lecture Notes, IIT Kharagpur, Dept. of Electronics and Communication Engineering, http://nptel.iitm.ac.in/syllabus/syllabus.php? subjectId=117105079, 2012.
20. Oh, J-K., Jang, G., Oh, S., Lee, J.H., Yi, B-J., Moon, Y.S., Lee, J.S., Choi, Y., "Bridge inspection robot system with machine vision,", Automation in Construction, Vol. 18, pp. 929-941, 2009.
21. Zhu, Z., German, S., Brilakis, I., "Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation,", Automation in Construction, Vol. 20, pp. 874-883, 2011.
22. ImageJ: Comercial software for image analysis, Online Resources, http://rsb.info.nih.gov/ij/, 2012.