[1] Li Y, Yu F Y, Cai Q, et al. Image fusion of fault detection in power system based on deep learning[J]. Cluster Computing, 2019, 22(4): 9435-9443.

[2] 李巍, 董明利, 吕乃光, 等. 基于T分布混合模型的多光谱人脸图像配准[J]. 光学学报, 2019, 39(7): 0710001.

    Li W, Dong M L, Lü N G, et al. Multispectral face image registration based on T-distribution mixture model[J]. Acta Optica Sinica, 2019, 39(7): 0710001.

[3] 朱明, 姚强, 唐俊, 等. 超图约束和改进归一化互相关方法相结合的图像配准算法[J]. 国防科技大学学报, 2019, 41(3): 50-55.

    Zhu M, Yao Q, Tang J, et al. Image registration algorithm with hypergraph constraint and improved normalized cross correlation method[J]. Journal of National University of Defense Technology, 2019, 41(3): 50-55.

[4] 陈龙, 张峰峰, 于凌涛, 等. 归一化互信息与多分辨率融合的2D-3D配准方法[J]. 哈尔滨工程大学学报, 2020, 41(2): 243-249.

    Chen L, Zhang F F, Yu L T, et al. A 2D-3D registration method based on normalized mutual information and multi-resolution fusion[J]. Journal of Harbin Engineering University, 2020, 41(2): 243-249.

[5] Abdel-Basset M, Fakhry A E, El-Henawy I, et al. Feature and intensity based medical image registration using particle swarm optimization[J]. Journal of Medical Systems, 2017, 41(12): 197.

[6] 闫利, 王紫琦, 叶志云. 顾及灰度和梯度信息的多模态影像配准算法[J]. 测绘学报, 2018, 47(1): 71-81.

    Yan L, Wang Z Q, Ye Z Y. Multimodal image registration algorithm considering grayscale and gradient information[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(1): 71-81.

[7] Yang T J, Tang Q, Li L, et al. Nonrigid registration of medical image based on adaptive local structure tensor and normalized mutual information[J]. Journal of Applied Clinical Medical Physics, 2019, 20(6): 99-110.

[8] 刘小燕, 王皓浩, 孙刚, 等. 基于互信息的荧光素眼底血管造影图像序列的自动配准方法[J]. 电子与信息学报, 2018( 8): 1919- 1926.

    Liu XY, Wang HH, SunG, et al. A novel automatic registration method for fluorescein fundus angiography sequences based on mutual information[J]. Journal of Electronics & Information Technology, 2018( 8): 1919- 1926.

[9] Yu K, Ma J, Hu F Y, et al. A grayscale weight with window algorithm for infrared and visible image registration[J]. Infrared Physics & Technology, 2019, 99: 178-186.

[10] Wang C J, Goatman K, Boardman J P, et al. Distance oriented particle swarm optimizer for brain image registration[J]. IEEE Access, 2019, 7: 56016-56027.

[11] Liu J, Li Y, Wang W B, et al. Automatic, high-accuracy image registration in confocal microscopy[J]. Applied Optics, 2017, 56(32): 8924-8930.

[12] Pradhan S, Patra D. RMI based non-rigid image registration using BF-QPSO optimization and P-spline[J]. AEU-International Journal of Electronics and Communications, 2015, 69(3): 609-621.

[13] Chen C L, Jian B L. Infrared thermal facial image sequence registration analysis and verification[J]. Infrared Physics & Technology, 2015, 69: 1-6.

[14] Wu H S, Zhang F M. Wolf pack algorithm for unconstrained global optimization[J]. Mathematical Problems in Engineering, 2014, 2014: 1-17.

[15] Chen XY, Tang CJ, WangJ, et al. and Systems, 2018, E101. D( 7): 1946- 1949.

[16] Yan X S, Song T, Wu Q H. An improved cultural algorithm and its application in image matching[J]. Multimedia Tools and Applications, 2017, 76(13): 14951-14968.

[17] Zhu X Z, Tang C, Wang P C, et al. Saliency detection via affinity graph learning and weighted manifold ranking[J]. Neurocomputing, 2018, 312: 239-250.

[18] 薛晗, 邵哲平, 潘家财, 等. 基于文化萤火虫算法的足球机器人动态路径规划[J]. 控制与决策, 2018, 33(11): 2015-2020.

    Xue H, Shao Z P, Pan J C, et al. Cultural firefly algorithm for dynamic path planning of soccer robot[J]. Control and Decision, 2018, 33(11): 2015-2020.

[19] Liang J Y, Liu X P, Huang K N, et al. Automatic registration of multisensor images using an integrated spatial and mutual information (SMI) metric[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 603-615.

[20] Guo Y N, Yang Z, Wang C, et al. Cultural particle swarm optimization algorithms for uncertain multi-objective problems with interval parameters[J]. Natural Computing, 2017, 16(4): 527-548.

[21] MatthewB, SabineS. Multi-spectral SIFT for scene category recognition[C]∥International Conference on Computer Vision and Pattern Recognition (CVPR11), June 20-25, 2011, Colorado Springs, CO, USA. New York: IEEE, 2011: 177- 184.

[22] 薛俊杰, 王瑛, 李浩, 等. 一种狼群智能算法及收敛性分析[J]. 控制与决策, 2016, 31(12): 2131-2139.

    Xue J J, Wang Y, Li H, et al. A smart wolf pack algorithm and its convergence analysis[J]. Control and Decision, 2016, 31(12): 2131-2139.

[23] Öfverstedt J, Lindblad J, Sladoje N. Fast and robust symmetric image registration based on distances combining intensity and spatial information[J]. IEEE Transactions on Image Processing, 2019, 28(7): 3584-3597.