[1] Tao Z Y, Wang H T, Wang L Y. An identification system for actively identifying unknown finger veins[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121002. 陶志勇, 王浩童, 王藜谚. 一种主动鉴别未知类别指静脉的识别系统[J]. 激光与光电子学进展, 55, 121002(2018).

[2] Wang J, Wu X S. Medical image fusion based on improved guided filtering and dual-channel pulse coupled neural networks[J]. Laser & Optoelectronics Progress, 56, 151004(2019).

[3] Bora D J. An optimal color image edge detection approach. [C]∥2017 International Conference on Trends in Electronics and Informatics (ICEI), May 11-12, 2017, Tirunelveli, India. New York: IEEE, 342-347(2017).

[4] Du S S, Han C. An improved image inpainting algorithm based on total variation model[J]. Laser & Optoelectronics Progress, 55, 071005(2018).

[5] Das R, Piciucco E, Maiorana E et al. Convolutional neural network for finger-vein-based biometric identification[J]. IEEE Transactions on Information Forensics and Security, 14, 360-373(2019).

[6] Liu H P, Zheng M J, Hou X D et al. Enhancement algorithm of fractional differential medical images based on local binary pattern variance[J]. Laser & Optoelectronics Progress, 56, 091006(2019).

[7] Jiang J G, Zhou J W, Zhou R S et al. Image enhancement method based on improved bacteria foraging optimization algorithm[J]. Control and Decision, 30, 461-466(2015).

[8] Kim Y T. Contrast enhancement using brightness preserving bi-histogram equalization[J]. IEEE Transactions on Consumer Electronics, 43, 1-8(1997).

[9] Sun D H, Zhang L, Zhao M et al. Self-adaptive image enhancement method based on extended Beta function[J]. Application Research of Computers, 28, 4742-4745(2011).

[10] Chen H Y, Qian J, Jiang W T et al. Gaussian mixture grayscale image enhancement algorithm based on particle swarm optimization[J]. Journal of Applied Optics, 38, 592-598(2017).

[11] Munteanu C, Rosa A. Towards automatic image enhancement using genetic algorithms. [C]∥Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No. 00TH8512), July 16-19, 2000, La Jolla, CA, USA. New York: IEEE, 1535-1542(2000).

[12] Li Z N, Wu W M, Lin Z Y. Image enhancement method based on improved antlion optimization algorithm[J]. Application Research of Computers, 35, 1258-1260, 1265(2018).

[14] Zhang M, Zhang W, Zhang P et al. Parameter optimization in particle swarm algorithm for spectral shape multiplexing demodulation of fiber Bragg grating[J]. Chinese Journal of Lasers, 46, 0706001(2019).

[15] Hashemi S, Kiani S, Noroozi N et al. An image contrast enhancement method based on genetic algorithm[J]. Pattern Recognition Letters, 31, 1816-1824(2010). http://dl.acm.org/citation.cfm?id=1851096

[16] Wang T T, Yang L. -08-01)[2019-04-17]. http:∥arxiv., org/abs/1808, 00260(2018).

[17] Carbonaro A, Zingaretti P. A comprehensive approach to image-contrast enhancement. [C]∥Proceedings 10th International Conference on Image Analysis and Processing, September 27-29, 1999, Venice, Italy. New York: IEEE, 6482375(1999).

[18] Gao S Y. Research of wave impedance inversion based on hybrid particle swarm optimization[D]. Daqing: Northeast Petroleum University(2018).

[19] Ning W D. Research and application of particle swarm optimization based on sine and cosine strategy[D]. Changsha: Hunan University(2018).