[1] Panin SV, Chemezov VO, Lyubutin PS, et al. The algorithm of crack and crack tip coordinates detection in optical images during fatigue test[C]. IOP Conference Series: Materials Science and Engineering, 2017, 177: 012019.

    Panin SV, Chemezov VO, Lyubutin PS, et al. The algorithm of crack and crack tip coordinates detection in optical images during fatigue test[C]. IOP Conference Series: Materials Science and Engineering, 2017, 177: 012019.

[2] Zakeri H, Nejad F M, Fahimifar A. Rahbin: a quadcopter unmanned aerial vehicle based on a systematic image processing approach toward an automated asphalt pavement inspection[J]. Automation in Construction, 2016, 72(2): 211-235.

    Zakeri H, Nejad F M, Fahimifar A. Rahbin: a quadcopter unmanned aerial vehicle based on a systematic image processing approach toward an automated asphalt pavement inspection[J]. Automation in Construction, 2016, 72(2): 211-235.

[3] Aldea E. Hégarat-Mascle S L. Robust crack detection for unmanned aerial vehicles inspection in an a-contrario decision framework[J]. Journal of Electronic Imaging, 2015, 24(6): 061119.

    Aldea E. Hégarat-Mascle S L. Robust crack detection for unmanned aerial vehicles inspection in an a-contrario decision framework[J]. Journal of Electronic Imaging, 2015, 24(6): 061119.

[4] Lu GF, Zhao QC, Liao JG, et al. Pavement crack identification based on automatic threshold iterative method[C]. SPIE, 2016, 10322: 103221F.

    Lu GF, Zhao QC, Liao JG, et al. Pavement crack identification based on automatic threshold iterative method[C]. SPIE, 2016, 10322: 103221F.

[5] Huang J P, Liu W Y, Sun X M. A pavement crack detection method combining 2D with 3D information based on Dempster-Shafer theory[J]. Computer-Aided Civil and Infrastructure Engineering, 2014, 29(4): 299-313.

    Huang J P, Liu W Y, Sun X M. A pavement crack detection method combining 2D with 3D information based on Dempster-Shafer theory[J]. Computer-Aided Civil and Infrastructure Engineering, 2014, 29(4): 299-313.

[6] Jahanshahi M R, Masri S F, Padgett C W, et al. An innovative methodology for detection and quantification of cracks through incorporation of depth perception[J]. Machine Vision and Applications, 2013, 24(2): 227-241.

    Jahanshahi M R, Masri S F, Padgett C W, et al. An innovative methodology for detection and quantification of cracks through incorporation of depth perception[J]. Machine Vision and Applications, 2013, 24(2): 227-241.

[7] Yoo H S, Kim Y S. Development of a crack recognition algorithm from non-routed pavement images using artificial neural network and binary logistic regression[J]. KSCE Journal of Civil Engineering, 2016, 20(4): 1151-1162.

    Yoo H S, Kim Y S. Development of a crack recognition algorithm from non-routed pavement images using artificial neural network and binary logistic regression[J]. KSCE Journal of Civil Engineering, 2016, 20(4): 1151-1162.

[8] Li L, Sun L J, Ning G B, et al. Automatic pavement crack recognition based on BP neural network[J]. Promet-Traffic & Transportation, 2014, 26(1): 11-22.

    Li L, Sun L J, Ning G B, et al. Automatic pavement crack recognition based on BP neural network[J]. Promet-Traffic & Transportation, 2014, 26(1): 11-22.

[9] GochooM, BayanduurenD, KhuchitU, et al. Design and application of novel morphological filter used in vehicle detection[C]. IEEE/ACIS International Conference on Computer & Information Science, 2016, 16251790: 1- 5.

    GochooM, BayanduurenD, KhuchitU, et al. Design and application of novel morphological filter used in vehicle detection[C]. IEEE/ACIS International Conference on Computer & Information Science, 2016, 16251790: 1- 5.

[10] 牟丽, 张学武, 张卓, 等. 自然场景下的显著性检测优化方法[J]. 激光与光电子学进展, 2016, 53(12): 121501.

    牟丽, 张学武, 张卓, 等. 自然场景下的显著性检测优化方法[J]. 激光与光电子学进展, 2016, 53(12): 121501.

    Mou Li, Zhang Xuewu, Zhang Zhuo, et al. Saliency detection optimization method in natural scene[J]. Laser & Optoelectronics Progress, 2016, 53(12): 121501.

    Mou Li, Zhang Xuewu, Zhang Zhuo, et al. Saliency detection optimization method in natural scene[J]. Laser & Optoelectronics Progress, 2016, 53(12): 121501.

[11] Cheng M M, Mitra N J, Huang X L, et al. Global contrast based salient region detection[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 37(3): 569-582.

    Cheng M M, Mitra N J, Huang X L, et al. Global contrast based salient region detection[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 37(3): 569-582.