[1] Y P Qu, J Q Liu, W Hou. Graphics design of cooperative targets on monocular vision high precision measurement. Acta Optica Sinica, 40, 1315001(2020).
[2] X J Wang, Y Cao, K Zhou. Methods of monocular pose measurement based on planar objects. Optics and Precision Engineering, 25, 274-280(2017).
[3] Y Guan, X J Wang, L Yin, et al. Monocular position and pose measurement method based on surface topography of object. Opto-Electronic Engineering, 45, 40-47(2018).
[4] G Y Chen, Q L Cheng, J Y Zhang, et al. Multi-sensor measurement based position and pose adjustment method for automatic docking of spacecraft cabins. Journal of Beijing University of Aeronautics and Astronautics, 45, 1232-1239(2019).
[5] J D Su, X H Qi, X S Duan. Plane pose measurement method based on monocular vision and checkerboard target. Acta Optica Sinica, 37, 0815002(2017).
[6] Z Y Wang, Y R Li, R J Hao, et al. Monocular vision pose measurement algorithm based on points feature. Infrared and Laser Engineering, 48, 0517002(2019).
[7] Faessler M, Mueggler E, Schwabe K, et al. A monocular pose estimation system based on infrared leds[C]2014 IEEE international conference on robotics automation (ICRA), 2014: 907913.
[8] Y Guo, D Zhao. Optimization design of non-coplanar target for pose measurement with monocular vision system. Optik, 131, 72-78(2017).
[9] X K Miao, F Zhu, Q H Ding, et al. Monocular vision pose measurement based on docking ring component. Acta Optica Sinica, 33, 0412006(2013).
[10] Liu H, Wang Z, Wang B, et al. Pose determination of noncooperative spacecraft based on multifeature infmation fusion[C]2013 IEEE International Conference on Robotics Biomimetics (ROBIO), 2013: 15381543.
[11] Xu Zhang, Peng Wei. Monocular vision calibration method of the stereo target for robot pose measurement. Infrared and Laser Engineering, 46, 1117005(2017).
[12] Q J Chen, Z Q Zhou, C J Liu, et al. Design of a vision calibration method of kinematic parameters for 6-DoF manipulator. Journal of Tongji University(Natural Science), 48, 1023-1029(2020).
[13] Yang Shangkun, Wang Yansong, Guo Hui. Subpixel measurement system of circle outer diameter based on Zernike moment[C]2nd International Conference on Artificial Intelligence Engineering Applications, 2017.
[14] S Ghosal, R Mehrotra. Orthogonal moment operators for subpixel edge detection. Pattern Recognition, 26, 295-306(1993).
[15] T Yang, Q Zhao, X Wang, et al. Sub-pixel chessboard corner localization for camera calibration and pose estimation. Applied Sciences, 8, 2118(2018).
[16] A Arnab, S Zheng, S Jayasumana, et al. Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction. IEEE Signal Processing Magazine, 35, 37-52(2018).
[17] Takikawa T, Acuna D, Jampani V, et al. Gatedscnn: Gated shape cnns f semantic segmentation [C]Proceedings of the IEEE International Conference on Computer Vision. 2019: 52295238.
[18] C Li, C Xu, C Gui, et al. Distance regularized level set evolution and its application to image segmentation. IEEE Transactions on Image Processing, 19, 3243-3254(2010).
[19] P Getreuer. Chan-vese segmentation. Image Processing On Line, 2, 214-224(2012).
[20] N Dhanachandra, K Manglem, Y J Chanu. Image segmentation using K-means clustering algorithm and subtractive clustering algorithm. Procedia Computer Science, 54, 764-771(2015).
[21] S Thilagamani, N Shanthi. A survey on image segmentation through clustering. International Journal of Research and Reviews in Information Sciences, 1, 14-17(2011).
[22] J Han, C Yang, X Zhou, et al. A new multi-threshold image segmentation approach using state transition algorithm. Applied Mathematical Modelling, 44, 588-601(2017).
[23] Arthur D, Vassilvitskii S. Kmeans++: The advantages of careful seeding[C]Proceedings of the Eighteenth Annual ACMSIAM Symposium on Discrete Algithms, 2007: 10271035.
[24] N Otsu. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9, 62-66(1979).
[25] J Q Li, J W Wang, S B Chen, et al. Improved algorithm of subpixel edge detection using Zernike orthogonal moments. Optical Technique, 500-503(2003).
[26] A Banno. A P3P problem solver representing all parameters as a linear combination. Image and Vision Computing, 70, 55-62(2018).