• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 30 Issue 2
Apr.  2017
Turn off MathJax
Article Contents
YANG Enhui, ZHANG Aonan, DING Shihai, WANG Kelvin C. P.. Automatic Detection Method for Highway Pavement Cracking Based on the 3D Shadow Modeling[J]. Journal of Southwest Jiaotong University, 2017, 30(2): 288-294. doi: 10.3969/j.issn.0258-2724.2017.02.011
Citation: YANG Enhui, ZHANG Aonan, DING Shihai, WANG Kelvin C. P.. Automatic Detection Method for Highway Pavement Cracking Based on the 3D Shadow Modeling[J]. Journal of Southwest Jiaotong University, 2017, 30(2): 288-294. doi: 10.3969/j.issn.0258-2724.2017.02.011

Automatic Detection Method for Highway Pavement Cracking Based on the 3D Shadow Modeling

doi: 10.3969/j.issn.0258-2724.2017.02.011
  • Received Date: 21 Apr 2016
  • Publish Date: 25 Apr 2017
  • Automatic detection method for pavement cracking based on 3D image technology has been a hot topic. In order to improve the accuracy and reliability of the cracking detection, a new method based on the 3D shadow modeling was proposed, which utilizes that the height of the fracture zone is lower than the surrounding area, and the shadow model was used to identify the cracking by the virtual light projection and then, the linear shape analysis method was used to discriminate cracks detection. Furthermore, both the connected-component analysis method and linear shape analysis method were adopted to remove the image noises. The results show that the automatic detection method can achieve 92.93% of accuracy in pavement cracking detection.

     

  • loading
  • KELVIN C P W, ROBERT P E. Investigation of image archiving for pavement surface distress surface distress survey[R]. Fayetteville: Mack-Blackwell Transportation Center, University of Arkansas, 1999.
    OTSU N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man and Cybernetics, 1979, 9(1): 62-66.
    CANNY J. A computational approach to edge detection[J]. Pattern Analysis and Machine Intelligence, 1986, 8(6): 679-698.
    彭博,蒋阳升,韩世凡,等. 路面裂缝图像自动识别算法综述[J]. 公路交通科技,2014,31(7): 19-25. PENG Bo, JIANG Yangsheng, HAN Shifan, et al. A review of automatic pavement crack image recognition algorithms[J]. Journal of Highway and Transportation Research and Development, 2014, 31(7): 19-25.
    张娟,沙爱民,高怀钢, 等. 基于数字图像处理的路面裂缝自动识别与评价系统[J]. 长安大学学报:自然科学版,2004,24(2): 18-22. ZHANG Juan, SHA Aimin, GAO Huaigang, et al. Automatic pavement crack recognition and evaluation system based on digital image processing[J]. Journal of Chang'an University: Natural Science Edition, 2004, 24(2): 18-22.
    王华,朱宁,王祁. 应用计盒维数方法的路面裂缝图像分割[J]. 哈尔滨工业大学学报,2007,39(1): 142-144. WANG Hua, ZHU Ning, WANG Qi. Segmentation of pavement cracks using differential box-counting spproach[J]. Journal of Harbin Institute of Technology, 2007, 39(1): 142-144.
    MARTIN D R, FOWLKES C C, MALIK J. Learning to detect natural image boundaries using local brightness, color, and texture cues[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(5): 530-549.
    STAHL J S, WANG S. Edge grouping combining boundary and region information[J]. IEEE Transactions on Image Processing, 2007, 16(10): 2590-2606.
    SHU Zhibiao, GUO Yanqing. Algorithm on contourlet domain in detection of road cracks for pavement images[J]. Journal of Algorithms Computational Technology, 2013, 7(1): 15-26.
    SAART,TALVIK O. Automatic asphalt pavement crack detection and classification using neural networks[C]//Proceedings of the 12th Biennial Baltic Electronics Conference.Tallinn: IEEE, 2010: 345-348.
    KELVIN C P, WANG J. Elements of automated survey of pavements and a 3D methodology[J]. Journal of Modern Transportation, 2011(19): 51-57.
    WANG K C P, LI Q, GONG W. Wavelet-based pavement distress image edge detection with trous algorithm[R]. Washington D C: TRB, National Research Council, 2007.
    彭博,WANG K C P,陈成,等. 基于各向异性测度的路面三维图像裂缝识别[J]. 西南交通大学学报,2014,49(5): 888-895. PENG Bo, WANG K C P, CHEN Cheng, et al. 3D pavement crack Image detection based on anisotropy measure[J]. Journal of Southwest Jiaotong University, 2014, 49(5): 888-895.
    GRAMA A, GUPTA A, KARYPIS G, et al. Introduction to parallel computing[M]. 2nd ed. Boston: Addison Wesley, 2003: 209-210.
    DAVIS J, GOADRICH M. The relationship between precision-recall and ROC curves[C]//Proceeding of the 23rd International Conference on Machine Learning. Pittsburgh: ACM, 2006: 233-240.
    FAWCETT T. An introduction to ROC analysis[J]. Pattern Recognition Letters, 2006, 27(8): 861-874.
    DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multi-objective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.(中文编辑:唐 晴 英文编辑:周 尧)
  • 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
    Article views(592) PDF downloads(276) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return