[1] 冯倩, 陈维荣, 王云龙, 等. 受电弓滑板磨耗测量算法的研究[J]. 铁道学报, 2010, 32(1): 109-113.

    Feng Q, Chen W R, Wang Y L, et al. Research on the algorithm to measure the pantographic slipper abrasion[J]. Journal of the China Railway Society, 2010, 32(1): 109-113.

[2] 孙丰晖. 受电弓滑板磨耗检测系统的设计及调试[D]. 成都: 西南交通大学, 2011.

    Sun FH. Design of upper-computer software and handling for measurement system of pantograph slide plate's abrasion[D]. Chengdu: Southwest Jiaotong University, 2011.

[3] 路绳方, 刘震. 动车组列车序列图像快速对齐方法[J]. 光学学报, 2017, 37(9): 0915002.

    Lu S F, Liu Z. A fast alignment method in sequence images of multiple units train[J]. Acta Optica Sinica, 2017, 37(9): 0915002.

[4] 路绳方, 刘震. 动车组运行故障动态图像比对分析方法[J]. 激光与光电子学进展, 2017, 54(9): 091503.

    Lu S F, Liu Z. Image comparison and analysis of trouble of moving EMU[J]. Laser & Optoelectronics Progress, 2017, 54(9): 091503.

[5] 邹荣, 李健康, 徐家祥, 等. 复杂场景下铁路货车锁紧板偏转故障检测[J]. 铁道科学与工程学报, 2015, 12(4): 917-922.

    Zou R, Li J K, Xu J X, et al. Deflection fault detection for locking plate of freight trains under complex scene[J]. Journal of Railway Science and Engineering, 2015, 12(4): 917-922.

[6] 李涛涛, 杨峰, 许献磊. 基于多视觉线结构光传感器的大尺度测量方法[J]. 中国激光, 2017, 44(11): 1104003.

    Li T T, Yang F, Xu X L. Method of large-scale measurement based on multi-vision line structured light sensor[J]. Chinese Journal of Lasers, 2017, 44(11): 1104003.

[7] 周琳, 杨娜. 基于自适应二叉树算法的图像划痕检测研究[J]. 激光与光电子学进展, 2015, 52(5): 051002.

    Zhou L, Yang N. Image scratch detection research based on adaptive binary tree[J]. Laser & Optoelectronics Progress, 2015, 52(5): 051002.

[8] 沈峘, 李舜酩, 柏方超, 等. 路面车辆实时检测与跟踪的视觉方法[J]. 光学学报, 2010, 30(4): 1076-1083.

    Shen H, Li S M, Bo F C, et al. On road vehicles real-time detection and tracking using vision based approach[J]. Acta Optica Sinica, 2010, 30(4): 1076-1083.

[9] 张广军. 视觉测量[M]. 北京: 科学出版社, 2008.

    Zhang GJ. Vision measurement[J].Beijing: Science Press, 2008.

[10] Sobel IE. Camera models and machine perception[D]. Palo Alto: Stanford University, 1970.

[11] Canny J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1986, 8(6): 679-698.

[12] 罗鹏, 王泽勇, 高晓蓉, 等. 电力机车入库受电弓滑板磨耗检测[J]. 光电工程, 2004, 31(z1): 88-90.

    Luo P, Wang Z Y, Gao X R, et al. Abrasion detection of pantographic slipper when locomotive entering warehouse[J]. Opto-Electronic Engineering, 2004, 31(z1): 88-90.

[13] 涂晓斌. 基于机器视觉的受电弓滑板磨耗检测系统研究[D]. 广州: 广东工业大学, 2013.

    Tu XB. Research of pantogtaph wear detection system based on machine vision[D]. Guangzhou: Guangdong University of technology, 2013.

[14] Trujillo-Pino A, Krissian K, Alemán-Flores M, et al. Accurate subpixel edge location based on partial area effect[J]. Image & Vision Computing, 2013, 31(1): 72-90.

[15] DollárP, Zitnick CL. Structured forests for fast edge detection[C]. IEEE International Conference on Computer Vision, 2013: 1841- 1848.