Volume 13 Issue 6
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2013  >  13(6): 7-13
DONG An-guo, ZHANG Xian-yan, XUE Hong-zhi, SONG Jun. Multi-level clustering algorithm for crack detection of concrete surface[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6): 7-13.
Citation: DONG An-guo, ZHANG Xian-yan, XUE Hong-zhi, SONG Jun. Multi-level clustering algorithm for crack detection of concrete surface[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6): 7-13.
shu

Multi-level clustering algorithm for crack detection of concrete surface

  • School of Science, Chang'an University, Xi'an 710064, Shaanxi, China

More Information
  • Author Bio:

    DONG An-guo(1964-), male, professor, +86-29-82334890, donganguo@chd.edu.cn

  • Received Date: 2013-07-01
  • Publish Date: 2013-12-25
    Abstract
  • In order to detect the crack and its width of concrete surface, the k-means clustering was applied for crack digital image, and binary image was got based on taking out entire suspected crack pixels from clustering results. The connected components of binary image were extracted according to the ubiety of pixels, the distance function of connected components was constructed considering connected components as clustering objects. Connected components could be clustered by spectral clustering algorithm, pseudo cracks were removed on the basis of crack features, and whole crack image was obtained. Numerical calculations of crack width were carried out twice by local rotation algorithm. Research result shows that multi-level clustering algorithm can get rid of more noises during extracting crack, and has stronger anti-noise ability compared with Canny operator and Sobel operator. When the crack width is calculated by local rotation algorithm, the average relative errors of calculated value and actual value are 3.86%and 2.40% respectively, so the algorithm has high accuracy and can be used for width calculations of all kinds of cracks.

     

    • FullText(HTML)
  • loading
    • References(14)
  • [1]
    BHANDARKAR S M, LUO Xing-zhi, DANIELS R, et al. Detection of cracks in computer tomography images of logs[J]. Pattern Recognition Letters, 2005, 26(14): 2282-2294. doi: 10.1016/j.patrec.2005.04.004
    [2]
    CHENG H D, SHI X J, GLAZIER C. Real-time image thresholding based on sample space reduction and interpolation approach[J]. Journal of Computing in Civil Engineering, 2003, 17(4): 264-272. doi: 10.1061/(ASCE)0887-3801(2003)17:4(264)
    [3]
    邹勤, 李清泉, 毛庆洲, 等. 利用目标点最小生成树的路面裂缝检测[J]. 武汉大学学报: 信息科学版, 2011, 36(1): 71-75. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201101017.htm

    ZOU Qin, LI Qing-quan, MAO Qing-zhou, et al. Targetpoints MST for pavement crack detection[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 71-75. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201101017.htm
    [4]
    王兴建, 秦国锋, 赵慧丽. 基于多级去噪模型的路面裂缝检测方法[J]. 计算机应用, 2010, 30(6): 1606-1609, 1612. https://www.cnki.com.cn/Article/CJFDTOTAL-JSJY201006051.htm

    WANG Xing-jian, QIN Guo-feng, ZHAO Hui-li. Pavement crack detection method based on multilevel denosing model[J]. Journal of Computer Applications, 2010, 30(6): 1606-1609, 1612. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JSJY201006051.htm
    [5]
    段跃华, 张肖宁, 李智, 等. 基于工业CT的混凝土集料二维及三维轮廓表征方法[J]. 中国公路学报, 2011, 24(6): 9-15. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201106004.htm

    DUAN Yue-hua, ZHANG Xiao-ning, LI Zhi, et al. Methods about digital representation on surface profile of concrete aggregates from 2-D to 3-D based on X-ray computed tomography[J]. China Journal of Highway and Transport, 2011, 24(6): 9-15. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201106004.htm
    [6]
    万成, 张肖宁, 贺玲凤, 等. 沥青混合料动态模量数值预测方法[J]. 中国公路学报, 2012, 25(4): 16-28. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201204003.htm

    WAN Cheng, ZHANG Xiao-ning, HE Ling-feng, et al. Numerical prediction method for dynamic modulus of asphalt mixture[J]. China Journal of Highway and Transport, 2012, 25(4): 16-28. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201204003.htm
    [7]
    ABDEL-QADER I, ABUDAYYEH O, KELLY M E. Analysis of edge-detection techniques for crack identification in bridges[J]. Journal of Computing in Civil Engineering, 2003, 17(4): 255-263.
    [8]
    ROSALES M B, FILIPICH C P, BUEZAS F S. Crack detection in beam-like structures[J]. Engineering Structures, 2009, 31(10): 2257-2264.
    [9]
    ZHANG Hong, DONG An-guo, XU Zhi-gang, et al. Seeds moving algorithm and its application on bridge crack detection[C]//IEEE. 2010 3rd International Conference on Power Electronics and Intelligent Transportation System. Shenzhen: IEEE, 2010: 270-274. (in Chinese).
    [10]
    查旭东, 王文强. 基于图像处理技术的连续配筋混凝土路面裂缝宽度检测方法[J]. 长沙理工大学学报: 自然科学版, 2007, 4(1): 13-17. https://www.cnki.com.cn/Article/CJFDTOTAL-HNQG200701002.htm

    ZHA Xu-dong, WANG Wen-qiang. The testing method of crack width for continuously reinforced concrete pavement based on image processing technique[J]. Journal of Changsha University of Science and Technology: Natural Science, 2007, 4(1): 13-17. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HNQG200701002.htm
    [11]
    卢晓霞. 基于图像处理的混凝土裂缝宽度检测技术的研究[D]. 成都: 电子科技大学, 2010.

    LU Xiao-xia. Concrete crack width detection technology based on image processing[D]. Chengdu: University of Electronic Science and Technology of China, 2010. (in Chinese).
    [12]
    MACQUEEN J. Some methods for classification and analysis of multivariate observations[C]//University of California Press. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability. Berkeley: University of California Press, 1967: 281-297.
    [13]
    田铮, 李小斌, 句彦伟. 谱聚类的扰动分析[J]. 中国科学E辑: 信息科学, 2007, 37(4): 527-543. https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK200704004.htm

    TIAN Zheng, LI Xiao-bin, GOU Yan-wei. Perturbation analysis of spectral clustering[J]. Science in China Series E: Information Sciences, 2007, 37(4): 527-543. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK200704004.htm
    [14]
    REGE M, DONG Ming, FOTOUHI F. Bipartite isoperimetric graph partitioning for data co-clustering[J]. Data Mining and Knowledge Discovery, 2008, 16(3): 276-312.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (578) PDF downloads(1338) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return