吉林大学学报(工学版) ›› 2002, Vol. ›› Issue (4): 91-97.
• 论文 • 上一篇
王荣本, 王超, 初秀民
WANG Rong-ben, WANG Chao, CHU Xiu-min
摘要: 介绍了几种典型的基于图像处理技术的路面破损自动检测系统,对路面破损图像采集、压缩、识别以及路面破损程度评价的研究进展进行了综述,探讨了现有路面破损自动检测系统研究中存在的问题,并展望了路面破损自动检测技术的发展前景.
中图分类号:
[1] 潘玉利.路面管理系统原理[M].北京:人民交通出版社,1998. [2] 盛安连.路基路面检测技术[M].北京:人民交通出版社,1998. [3] Wang Kelvin C P.Highway data collection and information management[Z].3rd International Conference on Road & Airfield Pavement Technology,30 April 1998. [4] Mendelsohn D H.Automated pavement crack detection:An assessment of leading technologied[Z].Proc.,2nd North Am.Conf.on Managing Pavements,May 1996. [5] Wang Kelvin C P.Designs and implementations of automated systems for pavement surface distress survey[J].ASCE Journal of Infrastructure Systems,2000,(1):24~32. [6] Mo Ward,El-korchi T,Wittels N,et al.Testing pavement image processing systems:an engineering approach[A].Road and Airport Pavement Response Monitoring Systems[C].VC Janoo and RA Eaton,eds.,ASCE,New York,1992:41~62. [7] Bhagvati C,Skolnick M M,Grivas D A.Gaussian normalization of morphological size distributions for increasing sensitivity to texture variations and its application to pavement distress classification[Z].IEEE Computer Vision and Pattern Recognition Conference,Seattle,WA,1994:20~24. [8] LeBlanc J,Gennert MA,Wittels N,et al.Analysis and generation of pavement distress images using fractals[J].Trans Resch Rec,1991,1311:158~175. [9] Siriphan Jitprasithsiri.Development of a new digital pavement image processing algorithm for unified crack index computation[D].A Dissertation Submitted to the Faculty of the University of Utah,1997. [10] Koutsopoulos H N,Downey A B.Primitve-based classification of pavement cracking images[J].J. Transp. Engrg.,1993,19(3):136~143. [11] Chou J C,O'Neil W A.Pavement distress evaluation using fuzzying logic and moment invariants.Transp.Res.Record,1505,Transportation Research Board,Washington D C:144~148. [12] Cheng Hengda.Automated real-time pavement distress detection using fuzzy logic and neural network[J].SPIE Proceeding,1994,2946:140~151. [13] Velisky S A,Kirschke K R.Design considerations for automated pavement crack selling machinery[Z].Proc.2nd Int Conf.on Applications of Advanced Technologies in Transp.Engrg.:77~80. [14] Li L,Chan P,Rao A,et al.Flexible pavement distress evaluation using image ananysis[J].J.Transp.Engrg. ASCE,1993,119(3):402~418. [15] Grivas D A,Bhagvati C,Skolnick M M,et al.Feasibility of automating pavement distress assessment using mathematical morphology[J].Transportation Research Record,1994(1435):52~58. [16] Cheng H D,Rong Jim.Novel approach to pavement cracking detection based on fuzzy set theory[J].ASCE,1999,13(4):270~280. [17] Chun J,Chi F C.Airport pavement distress image classification using moment invariant neural network[Z].22nd Asian Conference on Remote Sensing,2001. [18] Miyojim M,Cheng H D.Novel system for automatic pavement distress detection[J].ASCE,1998,12(3):145~152. [19] 熊和金.路面破损诊断的神经网络方法[J].公路交通科技,2001,18(1):10~12. [20] Kasko M S,Ritchie comparison of traditional and neural classifiers for pavement crack detection[J].ASCE,1994,120(4):552~569. [21] Ritchie S G,Che L Y.Development of an intelligent system for automated pavement evaluation[R].Transportation Research Record,1993,1311:112~119. |
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