结合几何代数改进的SIFT桥梁裂缝图像拼接算法
王艳, 李宗学, 丁文胜, 沈晓宇. 结合几何代数改进的SIFT桥梁裂缝图像拼接算法[J]. 光学技术, 2019, 45(1): 78.
WANG Yan, LI Zongxue, DING Wensheng, SHEN Xiaoyu. Improved SIFT algorithm for bridge crack image mosaic combining geometric algebra[J]. Optical Technique, 2019, 45(1): 78.
[1] Lowe D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision (S0920-5691),2004,60(2):91-100.
[2] 曾峦, 王元钦, 谭久彬. 改进的SIFT特征提取和匹配算法[J]. 光学精密工程,2011,19(6):1391-1397.
[3] 陈抒瑢, 李勃, 董蓉, 等. Contourlet-SIFT特征匹配算法[J]. 电子与信息学报,2013(5):1215-1221.
Chen Shurong, Li Bo, Dong Rong, et al. Contourlet-SIFT feature matching algorithm[J]. Journal of Electronics & Information Technology,2013(5): 1215-1221.
[4] 李玉峰, 李广泽, 谷绍湖,等. 基于区域分块与尺度不变特征变换的图像拼接算法[J]. 光学精密工程,2016,24(5):1197-1205.
[5] Lee C, Rhee C E, Lee H J. Complexity reduction by modified scale-space construction in SIFT generation optimized for a mobile GPU[J]. IEEE Transactions on Circuits & Systems for Video Technology,2017,27(10):2246-2259.
[6] 韩超, 方露, 章盛. 一种优化的图像配准算法[J]. 电子测量与仪器学报,2017,31(2):178-184.
Han Chao, Fang Lu, Zhang Sheng. An optimized image registration algorithm[J]. Journal of electronic measurement and instrumentation,2017,31(2):178-184.
[7] Zhang G, Zeng Z, Zhang S, et al. SIFT matching with CNN evidences for particular object retrieval[J]. Neurocomputing,2017,238(238):399-409.
[8] Zhang J, Chen G, Jia Z. An image stitching algorithm based on Histogram matching and SIFT algorithm[J]. International Journal of Pattern Recognition & Artificial Intelligence,2017,31(04):381-395.
[9] 杨志强. 混凝土箱梁裂缝成因分析[D]. 西南交通大学,2005.
Yang Zhiqiang. Analysis for causes of cracking in concrete box girder[D]. Southwest Jiaotong University,2005.
[10] 王强. 基于几何代数的计算机视觉问题研究[D]. 国防科学技术大学,2013.
Wang Qiang. A study of computer vision based on geometric algebra[D]. National University of Defense Technology,2013.
[11] Batard T, Saint-Jean C, Berthier M. A metric approach to nD images edge detection with Clifford Algebras[J], Journal of Mathematical Imaging and Vision,2009,33 (3):296-312.
[12] Labunets V. Clifford algebras as unified language for image processing and pattern recognition[M]. Computational Noncommutative Algebra and applications. Springer Netherlands,2004:197-225.
[13] Lowe D G. Object recognition from local scale-invariant features[C]∥ IEEE International Conference on Computer Vision Kerkyra, Greece:IEEE,1999:1150.
[14] 单小军, 唐娉. 图像匹配中误匹配点检测技术综述[J]. 计算机应用研究,2015(9):2561-2565.
Shan Xiaojun, Tang Ping. Review of false matching points detection methods for image matching[J]. Application Research of Computers,2015(9):2561-2565.
[15] Torr P H S, Zisserman A.MLESAC: a new robust estimator with application to estimating image geometry[J]. Computer Vision and Image Understanding,2000,78(1):138-156.
[16] 万国挺, 王俊平, 李锦,等. 图像拼接质量评价方法[J]. 通信学报,2013,34(8):76-81.
Wan Guoting, Wang Junping, Li Jin, et al. Method for quality assessment of image mosaic[J]. Journal on Communications,2013,34(8):76-81.
王艳, 李宗学, 丁文胜, 沈晓宇. 结合几何代数改进的SIFT桥梁裂缝图像拼接算法[J]. 光学技术, 2019, 45(1): 78. WANG Yan, LI Zongxue, DING Wensheng, SHEN Xiaoyu. Improved SIFT algorithm for bridge crack image mosaic combining geometric algebra[J]. Optical Technique, 2019, 45(1): 78.