A robust automatic crack detection method from noisy concrete surfaces

Machine Vision and Applications

Volumn 22, Issue 2, 2011, Pages 245-254

  Fujita, Yusuke ^a   Hamamoto, Yoshihiko ^a  

^a YAMAGUCHI UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

Concrete; Median filter; Multi scale; Nondestructive test; Relaxation; Thresholding

Indexed keywords

MEDIAN FILTER; MULTISCALES; NON-DESTRUCTIVE TEST; RELAXATION; THRESHOLDING;

ELECTRIC FILTERS; IMAGE SEGMENTATION; NONDESTRUCTIVE EXAMINATION;

CRACK DETECTION;

EID: 79951952113     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-009-0244-5     Document Type: Article

References (16)

1. A. Ito Y. Aoki S. Hashimoto 2002 Accurate extraction and measurement of fine cracks from concrete block surface image Proc. IECON 3 2202 2207
2. T.C. Hutchinson Z. Chen 2006 Improved image analysis for evaluating concrete damage J. Comput. Civ. Eng. 20 3 210 216 10.1061/(ASCE)0887-3801(2006) 20:3(210)
3. T. Yamaguchi S. Nakamura R. Saegusa S. Hashimoto 2008 Image-based crack detection for real concrete surfaces Trans. Electr. Electron. Eng. 3 128 135 10.1002/tee.20244
4. K. Kawamura A. Miyamoto H. Nakamura R. Sato 2003 Proposal of a crack pattern extraction method from digital images using an interactive genetic algorithm Proc. Japan Soc. Civ. Eng. 742 115 131
5. I. Abdel-Qader O. Abudayyeh M.E. Kelly 2003 Analysis of edge detection techniques for crack identification in bridges J. Comput. Civ. Eng. 17 3 255 263 10.1061/(ASCE)0887-3801(2003)17:4(255) (Pubitemid 40475449)
6. S. Kabir P. Rivard D. He P. Thivierge 2009 Damage assessment for concrete structure using image processing techniques on acoustic borehole imagery Constr. Build. Mater. 23 10 3166 3174 10.1016/j.conbuildmat.2009.06.013
7. J.H. Lee J.M. Lee H.J. Kim Y.S. Moon 2008 Machine vision system for automatic inspection of bridges Congress Image Signal Process. 3 363 366 10.1109/CISP.2008.672
8. J.S. Weszka 1978 SURVEY: a survey of threshold selection techniques Comput. Graph. Image Process. 7 259 10.1016/0146-664X(78)90116-8
9. S.U. Lee S.Y. Chung R.H. Park 1990 A comparative study of several global thresholding techniques for segmentation Comput. Graph. Image Process. 52 171 190 10.1016/0734-189X(90)90053-X
10. M. Sezgin B. Sankur 2004 Survey over image thresholding techniques and quantitative performance evaluation J. Electr. Imaging 13 1 146 168 10.1117/1.1631315
11. Y. Sato S. Nakajima N. Shiraga H. Atsumi S. Yoshida T. Koller G. Gerig R. Kikins 1999 Three-dimensional multi-scale line filter for segmentation and visualization of curvatures in medical images Med. Image Anal. 2 2 143 168 10.1016/S1361-8415(98)80009-1 (Pubitemid 128501135)
12. Rosenfeld, A.; Hummel, R.A.; Zucker, S.W.: Scene labeling using relaxation operation. IEEE Trans. Syst. Man Cybern. vol. SMC-6, no. 6, pp. 420-433 (1976)
13. Peleg, S.: A new probabilistic relaxation scheme. IEEE Trans. Pattern Anal. Mach. Intell. vol. PAMI-2, no. 4, pp. 362-369 (1980)
14. A. Erkel P. Pattynama 1998 Receiver operating characteristic (ROC) analysis: basic principles and applications in radiology Eur. J. Radiol. 27 2 88 94 10.1016/S0720-048X(97)00157-5 (Pubitemid 28234366)
15. T. Fawcett 2006 An introduction to ROC analysis Pattern Recognit. Lett. 27 8 861 874 10.1016/j.patrec.2005.10.010 2297626
16. N. Otsu 1979 Threshold selection method from gray-level histograms IEEE Trans. Syst. Man Cybern. 9 1 62 66 10.1109/TSMC.1979.4310076 558673 (Pubitemid 9413341)