[1] Yamaguchi I. A laser-speckle strain gauge[J]. Journal of Physics E, 1981, 14(5): 1270-1273.

    Yamaguchi I. A laser-speckle strain gauge[J]. Journal of Physics E, 1981, 14(5): 1270-1273.

[2] Peters W H, Ranson W F. Digital imaging techniques in experimental stress analysis[J]. Optical Engineering, 1981, 21(3): 427-431.

    Peters W H, Ranson W F. Digital imaging techniques in experimental stress analysis[J]. Optical Engineering, 1981, 21(3): 427-431.

[3] 潘兵, 吴大方, 谢惠民, 等. 基于梯度的数字图像相关法测量物体内部变形[J]. 光学学报, 2011, 31(6): 0612005.

    潘兵, 吴大方, 谢惠民, 等. 基于梯度的数字图像相关法测量物体内部变形[J]. 光学学报, 2011, 31(6): 0612005.

    Pan B, Wu D F, Xie H M, et al. Spatial-gradient-based digital volume correlation technique for internal deformation measurement[J]. Acta Optica Sinica, 2011, 31(6): 0612005.

    Pan B, Wu D F, Xie H M, et al. Spatial-gradient-based digital volume correlation technique for internal deformation measurement[J]. Acta Optica Sinica, 2011, 31(6): 0612005.

[4] Pan B, Xie H M, Wang Z Y, et al. Study on subset size selection in digital image correlation for speckle patterns[J]. Optics Express, 2008, 16(10): 7037-7048.

    Pan B, Xie H M, Wang Z Y, et al. Study on subset size selection in digital image correlation for speckle patterns[J]. Optics Express, 2008, 16(10): 7037-7048.

[5] 张华俊, 李桂华, 刘程, 等. 基于SURF特征匹配的数字图像相关变形初值可靠估计[J]. 光学学报, 2013, 33(11): 1112005.

    张华俊, 李桂华, 刘程, 等. 基于SURF特征匹配的数字图像相关变形初值可靠估计[J]. 光学学报, 2013, 33(11): 1112005.

    Zhang H J, Li G H, Liu C, et al. Reliable initial guess based on SURF feature matching in digital image correlation[J]. Acta Optica Sinica, 2013, 33(11): 1112005.

    Zhang H J, Li G H, Liu C, et al. Reliable initial guess based on SURF feature matching in digital image correlation[J]. Acta Optica Sinica, 2013, 33(11): 1112005.

[6] Tong W. An evaluation of digital image correlation criteria for strain mapping application[J]. Strain, 2005, 41(4): 167-175.

    Tong W. An evaluation of digital image correlation criteria for strain mapping application[J]. Strain, 2005, 41(4): 167-175.

[7] Pan B, Xie H M, Wang Z Y. Equivalence of digital image correlation criteria for pattern matching[J]. Applied Optics, 2010, 49(28): 5501-5509.

    Pan B, Xie H M, Wang Z Y. Equivalence of digital image correlation criteria for pattern matching[J]. Applied Optics, 2010, 49(28): 5501-5509.

[8] 梁士通, 杨速峰, 薛彬. 基于遗传算法的改进相位差波前误差传感技术研究[J]. 光学学报, 2010, 30(4): 1015-1019.

    梁士通, 杨速峰, 薛彬. 基于遗传算法的改进相位差波前误差传感技术研究[J]. 光学学报, 2010, 30(4): 1015-1019.

    Liang S T, Yang S F, Xue B. A new phase diversity wave-front error sensing method based on genetic algorithm[J]. Acta Optica Sinica, 2010, 30(4): 1015-1019.

    Liang S T, Yang S F, Xue B. A new phase diversity wave-front error sensing method based on genetic algorithm[J]. Acta Optica Sinica, 2010, 30(4): 1015-1019.

[9] 陈国龙, 陈火旺, 郭文忠, 等. 基于随机错位算术交叉的遗传算法及其应用[J]. 模式识别与人工智能, 2004, 17(2): 250-256.

    陈国龙, 陈火旺, 郭文忠, 等. 基于随机错位算术交叉的遗传算法及其应用[J]. 模式识别与人工智能, 2004, 17(2): 250-256.

    Chen G L, Chen H W, Guo W Z, et al. An improved GA based on RDAC and its application[J]. Pattern Recognition and Artificial Intelligence, 2004, 17(2): 250-256.

    Chen G L, Chen H W, Guo W Z, et al. An improved GA based on RDAC and its application[J]. Pattern Recognition and Artificial Intelligence, 2004, 17(2): 250-256.

[10] 庞伟正, 李俊峰, 曹志华. 改进的自适应遗传算法在TDOA定位中的应用[J]. 应用技术, 2005, 32(6): 1-3.

    庞伟正, 李俊峰, 曹志华. 改进的自适应遗传算法在TDOA定位中的应用[J]. 应用技术, 2005, 32(6): 1-3.

    Pang W Z, Li J F, Cao Z H. Application of enhanced adaptive genetic algorithm in TDOA based location[J]. Applied Science and Technology, 2005, 32(6): 1-3.

    Pang W Z, Li J F, Cao Z H. Application of enhanced adaptive genetic algorithm in TDOA based location[J]. Applied Science and Technology, 2005, 32(6): 1-3.

[11] 郭彤颖, 李宁宁, 刘雍. 基于粒子群算法的摄像机内参数优化方法[J]. 激光与光电子学进展, 2017, 54(11): 111504.

    郭彤颖, 李宁宁, 刘雍. 基于粒子群算法的摄像机内参数优化方法[J]. 激光与光电子学进展, 2017, 54(11): 111504.

    Guo T Y, Li N N, Liu Y. Optimization of camera internal parameters based on particle swarm algorithm[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111504.

    Guo T Y, Li N N, Liu Y. Optimization of camera internal parameters based on particle swarm algorithm[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111504.

[12] 王道档, 徐杨波, 陈茜茜, 等. 基于快速搜索粒子群算法的点衍射干涉绝对位移测量方法[J]. 光学学报, 2016, 36(1): 0112001.

    王道档, 徐杨波, 陈茜茜, 等. 基于快速搜索粒子群算法的点衍射干涉绝对位移测量方法[J]. 光学学报, 2016, 36(1): 0112001.

    Wang D D, Xu Y B, Chen Q Q, et al. Absolute displacement measurement with point-diffraction interferometer based on quick searching particle swarm optimization algorithm[J]. Acta Optica Sinica, 2016, 36(1): 0112001.

    Wang D D, Xu Y B, Chen Q Q, et al. Absolute displacement measurement with point-diffraction interferometer based on quick searching particle swarm optimization algorithm[J]. Acta Optica Sinica, 2016, 36(1): 0112001.

[13] 李晓磊, 邵之江, 钱积新. 一种基于动物自治体的寻优模式: 鱼群算法[J]. 系统工程理论与实践, 2002, 22(11): 32-38.

    李晓磊, 邵之江, 钱积新. 一种基于动物自治体的寻优模式: 鱼群算法[J]. 系统工程理论与实践, 2002, 22(11): 32-38.

    Li X L, Shao Z J, Qian J X. An optimizing method based on autonomous animals: fish-swarm algorithm[J]. System Engineering Theory and Practice, 2002, 22(11): 32-38.

    Li X L, Shao Z J, Qian J X. An optimizing method based on autonomous animals: fish-swarm algorithm[J]. System Engineering Theory and Practice, 2002, 22(11): 32-38.

[14] 刘东林, 李乐乐. 一种新颖的改进人工鱼群算法[J]. 计算机科学, 2017, 44(4): 281-287.

    刘东林, 李乐乐. 一种新颖的改进人工鱼群算法[J]. 计算机科学, 2017, 44(4): 281-287.

    Liu D L, Li L L. New improved artificial fish swarm algorithm[J]. Computer Science, 2017, 44(4): 281-287.

    Liu D L, Li L L. New improved artificial fish swarm algorithm[J]. Computer Science, 2017, 44(4): 281-287.

[15] Zhou P, Goodson K E. Subpixel displacement and deformation gradient measurement using digital image/speckle correlation[J]. Optical Engineering, 2001, 40(8): 1613-1620.

    Zhou P, Goodson K E. Subpixel displacement and deformation gradient measurement using digital image/speckle correlation[J]. Optical Engineering, 2001, 40(8): 1613-1620.