Citation: | LIU Tianbi, FENG Rui. An algorithm for precise image registration based on priori mark features[J]. Journal of East China Normal University (Natural Sciences), 2021, (3): 65-77. doi: 10.3969/j.issn.1000-5641.2021.03.008 |
[1] |
滕晓坤, 肖华胜. 基因芯片与高通量测序技术前景分析 [J]. 中国科学 C 辑: 生命科学, 2008, 38(10): 891-899.
|
[2] |
赵晨晖. 基于相位相关的亚像素图像配准 [J]. 现代计算机, 2014, 20(3): 50-53.
|
[3] |
BROWN L G. A survey of image registration techniques [J]. ACM Computing Surveys, 1992, 24(4): 325-376. doi: 10.1145/146370.146374
|
[4] |
ZITOVA B, FLUSSER J. Image registration methods: A survey [J]. Image and Vision Computing, 2003, 21(11): 977-1000. doi: 10.1016/S0262-8856(03)00137-9
|
[5] |
PLUIM J P W, MAINTZ J B A, VIERGEVER M A. Image registration by maximization of combined mutual information and gradient information [J]. IEEE Transactions on Medical Imaging, 2000, 19(8): 809-814. doi: 10.1109/42.876307
|
[6] |
AMAURY D, MARCHAND E. Second-order optimization of mutual information for real-time image registration [J]. IEEE Transactions on Image Processing, 2012, 21(9): 4190-4203. doi: 10.1109/TIP.2012.2199124
|
[7] |
闫小超, 魏生民, 汪焰恩, 等. 基于序贯相似度的AGV图像配准方法 [J]. 科学技术与工程, 2010, 10(3): 696-699. doi: 10.3969/j.issn.1671-1815.2010.03.023
|
[8] |
WEI X X, STOCKER A A. Mutual information, fisher information, and efficient coding [J]. Neural Computation, 2016, 28(2): 305-326. doi: 10.1162/NECO_a_00804
|
[9] |
LOWE D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 60(2): 91-110. doi: 10.1023/B:VISI.0000029664.99615.94
|
[10] |
BAY H, TUYTELAARS T, VAN GOOL L. SURF: Speeded up robust features [C]//European Conference on Computer Vision, Computer Vision – ECCV 2006. Berlin: Springer, 2006: 404-417. DOI: 10.1007/11744023_32.
|
[11] |
SMITH S M, BRADY J M. SUSAN—A new approach to low level image processing [J]. International Journal of Computer Vision, 1997, 23(1): 45-78. doi: 10.1023/A:1007963824710
|
[12] |
TRAJKOVIE M, HEDLEY M. Fast corner detection [J]. Image and Vision Computing, 1998, 16(2): 75-87. doi: 10.1016/S0262-8856(97)00056-5
|
[13] |
LEUTENEGGER S, CHLI M, SIEGWART R Y. BRISK: Binary robust invariant scalable keypoints [C]//2011 International Conference on Computer Vision. IEEE, 2011: 2548-2555. DOI: 10.1109/ICCV.2011.6126542.
|
[14] |
SHARK L K, KUREKIN A A, MATUSZEWSKI B J. Development and evaluation of fast branch-and-bound algorithm for feature matching based on line segments [J]. Pattern Recognition, 2007, 40(5): 1432-1450. doi: 10.1016/j.patcog.2006.10.022
|
[15] |
DAI X L, KHORRAM S. Development of a feature-based approach to automated image registration for multitemporal and multisensor remotely sensed imagery [C]//1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development. IEEE, 1997: 243-245.DOI: 10.1109/IGARSS.1997.61585.
|
[16] |
GOVINDU V, SHEKHAR C, CHELLAPPA R. Using geometric properties for correspondence-less image alignment [C]//Proceedings of the 14th International Conference on Pattern Recognition (Cat. No.98EX170). IEEE, 1998: 37-41. DOI: 10.1109/ICPR.1998.711074.
|
[17] |
HOLM M. Toward automatic rectification of satellite images using feature based matching [C]//Proceedings of the IGARSS’91 Remote Sensing: Global Monitoring for Earth Management. IEEE, 1991: 2439-2442. DOI: 10.1109/IGARSS.1991.575537.
|
[18] |
HSIEH Y C, MCKEOWN D M, PERLANT F P. Performance evaluation of scene registration and stereo matching for cartographic feature extraction [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 214-238. doi: 10.1109/34.121790
|
[19] |
LITJENS G, KOOI T, BEJNORDI B E, et al. A survey on deep learning in medical image analysis [J]. Medical Image Analysis, 2017, 2017, 42: 60-88. doi: 10.1016/j.media.2017.07.005
|
[20] |
SOKOOTI H, DE VOS B, BERENDSEN F, et al. Nonrigid image registration using multi-scale 3D convolutional neural networks [C]//Medical Image Computing and Computer Assisted Intervention Society, MICCAI(2017), Part I, LNCS 10433. Berlin: Springer, 2017: 232-239. DOI: 10.1007/978-3-319-66182-7_27.
|
[21] |
CAO X H, YANG J H, ZHANG J, et al. Deformable image registration using a cue-aware deep regression network [J]. IEEE Transactions on Biomedical Engineering, 2018, 65(9): 1900-1911. doi: 10.1109/TBME.2018.2822826
|
[22] |
MIAO S, WANG Z J, LIAO R. A CNN regression approach for real-time 2D/3D registration [J]. IEEE Transactions on Medical Imaging, 2016, 35(5): 1352-1363. doi: 10.1109/TMI.2016.2521800
|
[23] |
DALCA A V, BALAKRISHNAN G, GUTTAG J, et al. Unsupervised learning for fast probabilistic diffeomorphic registration[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention–MICCAI 2018: Medical Image Computing and Computer Assisted Intervention. Cham: Springer, 2018: 729-738. DOI: 10.1007/978-3-030-00928-1_82.
|
[24] |
DE VOS B D, BERENDSEN F F, VIERGEVER M A, et al. End-to-end unsupervised deformable image registration with a convolutional neural network [C]//International Workshop on Deep Learning in Medical Image Analysis–2017, International Workshop on Multimodal Learning for Clinical Decision Suppor–2017: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Cham: Springer, 2017: 204-212. DOI: 10.1007/978-3-319-67558-9_24.
|
[25] |
KREBS J, MANSI T, MAILHÉ B, et al. Learning structured deformations using diffeomorphic registration [EB/OL]. (2018-07-20)[2020-02-28]. https://arxiv.org/pdf/1804.07172v2.pdf.
|