Image-based crack detection for real concrete surfaces

IEEJ Transactions on Electrical and Electronic Engineering

Volumn 3, Issue 1, 2008, Pages 128-135

  Yamaguchi, Tomoyuki ^a   Nakamura, Shingo ^a   Saegusa, Ryo ^b   Hashimoto, Shuji ^a  

^a WASEDA UNIVERSITY   (Japan)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

Crack detection; Noise reduction; Percolation; Real concrete surface

Indexed keywords

CONCRETES; IMAGE PROCESSING; MATHEMATICAL MODELS; NOISE ABATEMENT;

PERCOLATED REGION; REAL CONCRETE SURFACE; RECEIVER OPERATING CHARACTERISTIC (ROC);

CRACK DETECTION;

EID: 38049173628     PISSN: 19314973     EISSN: 19314981     Source Type: Journal    
DOI: 10.1002/tee.20244     Document Type: Article

References (17)

1. Architectural Institute of Japan. Shrinkage Cracking in Reinforced Concrete Structures-Mechanisms and Practice of Crack Control. AIJ: Tokyo, 2003.
2. Dare PM, Hanley HB, Fraser CS, Riedel B, Niemeier W. An operational application of automatic feature extraction: the measurement of cracks in concrete structures. Photogrammetric Record 2002; 17(99):453-464.
3. Chen LC, Shao YC, Jan HH, Huang CW, Tien YM. Measuring system for cracks in concrete using multitemporal images. Journal of Surveying Engineering 2006; 132(2):77-82.
4. Abdel-Qader I, Abudayyeh O, Kelly ME. Analysis of edge detection techniques for crack identification in bridges. Journal of Computing in Civil Engineering 2003; 17(3):255-263.
5. Hutchinson TC, Chen Z. Improved image analysis for evaluating concrete damage. Journal of Computing in Civil Engineering 2006; 20(3):210-216.
6. Ito A, Aoki Y, Hashimoto S. Accurate extraction and measurement of fine cracks from concrete block surface image. Proceedings IECON2002, 2002; 77-82.
7. Tanaka H, Yamada M, Sato R, Hashimoto S. Japanese Patent, P2006-162477A, 2006.
8. Kawamura K, Miyamoto A, Nakamura H, Sato R. Proposal of a crack pattern extraction method from digital images using an interactive genetic algorithm. Proceedings of Japan Society of Civil Engineers 2003; 742:115-131.
9. Roli F. Measure of texture anisotropy for crack detection on textured surfaces. Electronics Letters 1996; 32(14):1274-1275.
10. Fujita Y, Mitani Y, Hamamoto Y. A method for crack detection on a concrete structure. Proceedings of International Conference on Pattern Recognition 2006; 3:901-904.
11. Miwa M, Kobayashi T, Zhang X, Sato M. Detecting cracks on the tunnel wall using watershed and graph analysis. ITE Technical Report 2005; 29(59):11-14.
12. Yamaguchi T, Hashimoto S. Image processing based on percolation model. IEICE Transactions on Information and Systems 2006; E89-D(7):2044- 2052.
13. Stauffer D. Introduction to Percolation Theory, 2nd edn. CRC press: New York, 1994.
14. Grimmett G. Percolation. Springer: Berlin, 1999.
15. Masumoto J, Hori M, Sato Y, Murakami T, Johkoh T, Nakamura H, Tamura S. Automated detection of liver tumors in X-ray CT images. IEICE Transactions on Information and Systems 2000; J83-D(1):219-227.
16. van Erkel AR, Pattynama PMTH. Receiver operating characteristic (ROC) analysis: basic principles and applications in radiology. European Journal of Radiology 1998; 27(2):88-94.
17. Van Rijsbergen CJ. Information Retrieval, 2nd edn. Butterworth-Heinemann: London, 1979.