• Infrared and Laser Engineering
  • Vol. 44, Issue 4, 1359 (2015)
Zhang Caifang1、*, Tian Yan2, and Li Jiang2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    Zhang Caifang, Tian Yan, Li Jiang. Pavement cracks classification algorithm based on geometry feature analysis[J]. Infrared and Laser Engineering, 2015, 44(4): 1359 Copy Citation Text show less
    References

    [1] Saar T, Talvik O. Automatic asphalt pavement crack detection and classification using neural networks[C]//12th Biennial Baltic Electronics Conference(BEC), 2010, 345-348.

    [2] Li Gang, He Yuyao. A novel image detection and classification for pavement crack under non-uniform illumination[J]. Acta Photonica Sinica, 2010, 39(8): 1405-1408. (in Chinese)

    [3] Gavilán M, Balcones D, Marcos O, et al. Adaptive road crack detection system by pavement classification[J]. Sensors, 2011, 11(10), 9628-9657.

    [4] Lihao Hong. Pavement information system: detection, classification and evaluation[D]. USA: The University of Toledo, 2009.

    [5] Oliveira H, CorreiaP L. Automatic road crack detection and characterization[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(1): 155-168.

    [6] Zhao Ke. Research on pavement crack image automatic identification system[D]. Xi′an: Chang′an University, 2009. (in Chinese)

    [7] Hu Shikun. Research on pavement crack detection algorithom based on digital image processing[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2012. (in Chinese)

    [8] Tan Dongjie, Zhang An. Multi-model image registration based on weighted orientation correlation and mutual information[J]. Infrared and Laser Engineering, 2013, 42(3): 836-841. (in Chinese)

    [9] R C Gonzalez, R E Woods. Digital Image Processing[M]. Beijing: Publishing House of Electronics Industry, 2003.

    Zhang Caifang, Tian Yan, Li Jiang. Pavement cracks classification algorithm based on geometry feature analysis[J]. Infrared and Laser Engineering, 2015, 44(4): 1359
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