多特征红外光与可见光图像的分区域配准
王颖, 韩静文. 多特征红外光与可见光图像的分区域配准[J]. 光电工程, 2015, 42(4): 68.
WANG Ying, HAN Jingwen. Sub-regional Registration Based on Features of the Infrared and Visible Images[J]. Opto-Electronic Engineering, 2015, 42(4): 68.
[3] Lowe D G. Distinctive Image Features from Scale-invariant Key points[J]. International Journal of Computer Vision(S1573-1405), 2004, 60(2): 91-110.
[5] HERBERT B, TUVTELLARS T, LUC V G.SURF: Speeded Up Robust Features[C]// Computer Vision-ECCV, Graz, Austria, May7-13, 2006: 404-417.
[6] 张锐娟, 张建奇, 杨翠. 基于 SURF的图像配准方法研究[J].红外与激光工程, 2009, 38(1): 160-165. ZHANG Ruijuan, ZHANG Jianqi, YANG Cui. Image registration approach based on SURF[J]. Infrared and Laser Engineering, 2009, 38(1): 160-165.
[7] 乔勇军, 谢晓方, 李德栋, 等. SURF特征匹配中的分块加速方法研究[J].激光与红外, 2011, 41(6): 691-696. QIAO Yongjun, XIE Xiaofang, LI Dedong, et al. Image Registration Approach Based on SURF[J]. Laser and Infrared, 2011, 41(6): 691-696.
[8] HAN J, PAUWELS E J, ZEEUW P D. Visible and infrared image registration in man-made environments employing hybrid visual features[J]. Pattern Recognition Letters(S0165-1684), 2013, 34(1): 42-51.
[9] BALLARD D H. Generalizing the Hough Transform to Detect Arbitrary Shapes[J].Pattern Recognition(S0031-3203), 1981, 13(2): 111-122.
[10] WANG Peng, WANG Ping, QU Zhiguo, et al. A novel algorithm for visual and IR image registration based on Hough Transform[C]// Multi-Platform/Multi-Sensor Remote Sending and Mapping(M2RSM), 2011 International Workshop on IEEE, Xiamen, China, Jan 10-12, 2011: 1-4.
[11] Davis J W, Sharma V. Background-Subtraction using Contour-based Fusion of Thermal and Visible Imagery[J]. Computer Vision and Image Understanding(S1077-3142), 2007, 106(2): 162-182.
王颖, 韩静文. 多特征红外光与可见光图像的分区域配准[J]. 光电工程, 2015, 42(4): 68. WANG Ying, HAN Jingwen. Sub-regional Registration Based on Features of the Infrared and Visible Images[J]. Opto-Electronic Engineering, 2015, 42(4): 68.