[1] Zhang S F, Zhu T. A method of traffic sign detection and recognition based on HDR technology[J]. Laser & Optoelectronics Progress, 55, 091006(2018).

[2] Qu Z H, Shao Y M, Deng T M et al. Traffic sign detection and recognition under complicated lighting conditions[J]. Laser & Optoelectronics Progress, 56, 231009(2019).

[3] Li Y S, Zheng S Y, Xia Y X et al. Detection of round ban traffic signs in natural environment[J]. Geomatics and Information Science of Wuhan University, 41, 1619-1625(2016).

[4] Su X, Chen X D, Xu H Y et al. Adaptive window local matching algorithm based on HSV color space[J]. Laser & Optoelectronics Progress, 55, 031103(2018).

[5] Wang G Y, Jin Y S, Ren G H et al. High-performance VLSI architecture for traffic sign detection[J]. Infrared and Laser Engineering, 47, 0926001(2018).

[6] Barnes N, Loy G, Shaw D. The regular polygon detector[J]. Pattern Recognition, 43, 592-602(2010).

[7] Gu Y L, Yendo T, Panahpour Tehrani M et al. Traffic sign detection in dual-focal active camera system[C]//2011 IEEE Intelligent Vehicles Symposium (IV), June 5-9, 2011, Baden-Baden, Germany., 1054-1059(2011).

[8] Zhang J, He M Y, Dai Y C et al. Multi-feature fusion based circular traffic sign detection[J]. Pattern Recognition and Artificial Intelligence, 24, 226-232(2011).

[9] Eckhorn R, Reitboeck H J, Arndt M et al. Feature linking via synchronization among distributed assemblies: simulations of results from cat visual cortex[J]. Neural Computation, 2, 293-307(1990).

[10] Johnson J L. Pulse-coupled neural nets: translation, rotation, scale, distortion, and intensity signal invariance for images[J]. Applied Optics, 33, 6239-6253(1994).

[11] Stewart R D, Fermin I, Opper M. Region growing with pulse-coupled neural networks: an alternative to seeded region growing[J]. IEEE Transactions on Neural Networks, 13, 1557-1562(2002).

[12] Du X Y, Zhong J. Insulator image segmentation based on improved unit-linking pulse-coupled neural network[J]. Laser & Optoelectronics Progress, 56, 151005(2019).

[13] Gao C, Zhou D G, Guo Y C. Automatic iterative algorithm for image segmentation using a modified pulse-coupled neural network[J]. Neurocomputing, 119, 332-338(2013).

[14] Ekblad U, Kinser J M, Atmer J et al. The intersecting cortical model in image processing[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 525, 392-396(2004).

[15] Kinser J M. Simplified pulse-coupled neural network[J]. Proceedings of SPIE, 2760, 563-567(1996).

[16] Zhan K, Zhang H J, Ma Y D. New spiking cortical model for invariant texture retrieval and image processing[J]. IEEE Transactions on Neural Networks, 20, 1980-1986(2009).

[17] Chen Y, Park S K, Ma Y et al. A new automatic parameter setting method of a simplified PCNN for image segmentation[J]. IEEE Transactions on Neural Networks, 22, 880-892(2011).

[18] Lian J, Yang Z, Sun W H et al. An image segmentation method of a modified SPCNN based on human visual system in medical images[J]. Neurocomputing, 333, 292-306(2019).

[19] Wang Y, Yang Y C, Dang J W et al. Image fusion based on fuzzy logic combined with adaptive pulse coupled neural network in nonsubsampled Contourlet transform domain[J]. Laser & Optoelectronics Progress, 56, 101006(2019).

[20] Wang M J, Guo L, Wang X et al. Color image segmentation based on improved internal activity multi-channel pulse coupled neural networks[J]. Laser & Optoelectronics Progress, 52, 121001(2015).

[21] 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).

[22] Zhou X L, Jiang Z T. Infrared and visible image fusion combining pulse-coupled neural network and guided filtering[J]. Acta Optica Sinica, 39, 1110003(2019).

[23] Lian J, Shi B, Li M C et al. An automatic segmentation method of a parameter-adaptive PCNN for medical images[J]. International Journal of Computer Assisted Radiology and Surgery, 12, 1511-1519(2017).

[24] Otsu N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 9, 62-66(1979).