[1] NEOGI N, MOHANTA D K, DUTTA P K. Review of vision-based steel surface inspection systems [J]. EURASIP Journal on Image and Video Processing, 2014, 2014: 50. [2] YUN J P, CHOI S, KIM J W, et al. Automatic detection of cracks in raw steel block using Gabor filter optimized by univariate dynamic encoding algorithm for searches (uDEAS) [J]. Non Destructive Testing & Evaluation International, 2009, 42(5): 389-397. [3] 吴秀永, 徐科, 徐金梧.基于Gabor小波和核保局投影算法的表面缺陷自动识别方法[J]. 自动化学报, 2010, 36(3): 438-441. (WU X Y, XU K, XU J W. Automatic recognition method of surface defects based on Gabor wavelet and kernel locality preserving projections [J]. Acta Automatica Sinica, 2010, 36(3): 438-441.) [4] JEON Y J, CHOI D C, LEE S J, et al. Steel-surface defect detection using a switching-lighting scheme [J]. Applied Optics, 2016, 55(1): 47-57. [5] TSAI D M, HSIAO B. Automatic surface inspection using wavelet reconstruction [J]. Pattern Recognition, 2001, 34(6): 1285-305. [6] GUAN S. Strip steel defect detection based on saliency map construction using Gaussian pyramid decomposition [J]. Transactions of the Iron & Steel Institute of Japan, 2015, 55(9): 1950-1955. [7] VEITCH-MICHAELS J, TAO Y, WALTON D, et al. Crack detection in "As-Cast" steel using laser triangulation and machine learning [C]//Proceedings of the 13th Conference on Computer and Robot Vision. Piscataway, NJ: IEEE, 2016: 342-349. [8] 吴家伟, 严京旗, 方志宏, 等.基于AdaBoost改进算法的铸坯表面缺陷检测方法[J]. 钢铁研究学报, 2012, 24(9): 59-62. (WU J W, YAN J Q, FANG Z H, et al. Surface defect detection of slab based on the improved AdaBoost algorithm [J]. Journal of Iron and Steel Research, 2012, 24(9): 59-62.) [9] SOUKUP D, HUBER-MÖRK R. Convolutional neural networks for steel surface defect detection from photometric stereo images [C]//Proceedings of the 10th International Symposium on Visual Computing. Berlin: Springer, 2014: 668-677. [10] XI J Q, SHEN-TU L F, HU J K, et al. Automated surface inspection for steel products using computer vision approach [J]. Applied Optics, 2017, 56(2): 184-192. [11] 禹晶, 苏开娜.块运动估计的研究进展[J]. 中国图象图形学报, 2007, 12(12): 2031-2041. (YU J, SU K N. A survey of block-based motion estimation [J]. Journal of Image and Graphics, 2007, 12(12): 2031-2041.) [12] 钟平, 于前洋, 金光.基于特征点匹配技术的运动估计及补偿方法[J]. 光电子·激光, 2004, 15(1): 73-77. (ZHONG P, YU Q Y, JIN G. Motion estimation and motion compensation based on matching technology of feature point [J]. Journal of Optoelectronics·Laser, 2004, 15(1): 73-77.) [13] 刘海峰, 郭宝龙, 冯宗哲.用于块匹配运动估值的正方形-菱形搜索算法[J]. 计算机学报, 2002, 25(7): 747-752. (LIU H F, GUO B L, FEN Z Z. A square-diamond search algorithm for block motion estimation [J]. Chinese Journal of Computers, 2002, 25(7): 747-752.) [14] PHONG B T. Illumination for computer generated pictures [J]. Communications of the ACM, 1975, 18(6): 311-317. |