[1] Ma C. Experimental analysis of pantograph catenary current collection quality based on arc detection device[D]. Chengdu: Southwest Jiaotong University(2013).
[2] Long C. Research on arc detection system of high-speed railway pantograph and catenary[D]. Chengdu: Southwest Jiaotong University(2010).
[3] Ling C Q. Design of image detection system for dynamic parameters of pantograph and catenary[D]. Tianjin: Tianjin University(2014).
[4] Wu C, Wu C H, Yang H et al. Pantograph-catenary arc online monitoring research based on image processing technology of LabVIEW[J]. Railway Standard Design, 62, 145-148(2018).
[5] Dai J. Arc detection technology for railway traction power supply[D]. Beijing: China Academy of Railway Science(2019).
[7] Chandrasekharan R, Sasikumar M. Fuzzy transform for contrast enhancement of nonuniform illumination images[J]. IEEE Signal Processing Letters, 25, 813-817(2018).
[8] Mustafa W A, Yazid H, Yaacob S B. Illumination normalization of non-uniform images based on double mean filtering. [C]//2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE2014), November 28-30, 2014, Batu Ferringhi, Malaysia. New York: IEEE, 366-371(2014).
[9] Xu Y J, Li W X. Research on face recognition based on the Gabor wavelet and the neural network[J]. Journal of China Academy of Electronics and Information Technology, 12, 534-539, 550(2017).
[10] Sahnoun M, Kallel F. A comparative study of MRI contrast enhancement techniques based on traditional Gamma correction and adaptive Gamma correction: case of multiple sclerosis pathology. [C]//2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), March 21-24, 2018, Sousse, Tunisia. New York: IEEE, 1-7(2018).
[11] Liu Z C, Wang D W, Liu Y et al. Adaptive adjustment algorithm for non-uniform illumination images based on 2D Gamma function[J]. Transactions of Beijing Institute of Technology, 36, 191-196, 214(2016).
[12] Liu X Y, Wang H H. Non-uniform illumination and binary processing of billet defect detection[J]. Control Engineering of China, 25, 2147-2152(2018).
[14] Maddalena L, Petrosino A. A self-organizing approach to background subtraction for visual surveillance applications[J]. IEEE Transactions on Image Processing, 17, 1168-1177(2008).
[15] Fan C D, Zhang Y J, Ouyang H L et al. Improved Otsu method based on histogram oblique segmentation for segmentation of rotary kiln flame image[J]. Acta Automatica Sinica, 40, 2480-2489(2014).
[16] Li X M, Gu G M, Chang H T. Image segmentation based on gray contrast and maximum entropy[J]. Railway Standard Design, 62, 52-56(2018).