[1] Liu P, Chen Z K, Jin Q M et al. Microstructure and corrosion behaviors of 316L coating fabricated by laser cladding[J]. Laser & Optoelectronics Progress, 57, 031402(2020).

[2] Fu F X, Zhang Y L, Chang G R et al. Analysis on the physical mechanism of laser cladding crack and its influence factors[J]. Optik, 127, 200-202(2012).

[3] Zhou J Z, He W Y, Xu J L et al. Strengthening mechanism and wear resistance of Al2O3/Fe901 composite coating prepared by laser cladding[J]. Acta Optica Sinica, 39, 0514001(2019).

[4] Huang Y W. Research on large-scale photovoltaic panel detection technology based on UAV vision[D], 2-4(2017).

[5] de Santis A, di Bartolomeo O, Iacoviello D et al. Quantitative shape evaluation of graphite particles in ductile iron[J]. Journal of Materials Processing Technology, 196, 292-302(2008).

[6] Zhang Z H, Li B, Zhang W F et al. Real-time penetration state monitoring using convolutional neural network for laser welding of tailor rolled blanks[J]. Journal of Manufacturing Systems, 54, 348-360(2020).

[7] Lu S, Tan Z W, Liu Y et al. Realization of recognition for multi-mode optical fiber transmission speckle using neural network[J]. Acta Optica Sinica, 40, 1306001(2020).

[8] Qi Z C, Ni P J, Jiang W et al. Quantitative detection of minor defects in metal materials based on variation coefficient of CT image[J]. Optik, 223, 165269(2020).

[9] Kim H, Ahn E, Cho S et al. Comparative analysis of image binarization methods for crack identification in concrete structures[J]. Cement and Concrete Research, 99, 53-61(2017).

[10] Yun J P, Shin W C, Koo G et al. Automated defect inspection system for metal surfaces based on deep learning and data augmentation[J]. Journal of Manufacturing Systems, 55, 317-324(2020).

[11] Wang S, Wu X, Zhang Y H et al. Image crack detection with fully convolutional network based on deep learning[J]. Journal of Computer-Aided Design & Computer Graphics, 30, 859-867(2018).

[12] Jiang B R, Luo R X, Mao J Y et al. Acquisition of localization confidence for accurate object detection[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11218, 816-832(2018).