[1] GUO Y Y, JIANG H W, YUAN D et al. Progress in electrowetting display materials and device technology[J]. Chinese Journal of Liquid Crystals and Displays, 37, 923-941(2022).

     郭媛媛, 蒋洪伟, 袁冬. 电润湿显示材料与器件技术研究进展[J]. 液晶与显示, 37, 923-941(2022).

[2] TANG B, ZHAO Q, ZHOU M et al. Research progress on printed electrofluidic display technology[J]. Journal of South China Normal University （Natural Science Edition）, 48, 1-8(2016).

     唐彪, 赵青, 周敏. 印刷电润湿显示技术研究进展[J]. 华南师范大学学报（自然科学版）, 48, 1-8(2016).

[3] KURIC I, KLARÁK J, BULEJ V et al. Approach to automated visual inspection of objects based on artificial intelligence[J]. Applied Sciences, 12, 864(2022).

[4] 王晓东, 崔世鹏, 徐征. 面向精密微装配的视觉复合定位[J]. 光学 精密工程, 31, 2857-2866(2023).

     WANG X D, CUI S P, XU Z et al. Visual composite positioning for precision microassembly[J]. Opt. Precision Eng., 31, 2857-2866(2023).

[5] ZHANG W N. Combination of SIFT and canny edge detection for registration between SAR and optical images[J]. IEEE Geoscience and Remote Sensing Letters, 19, 4007205(2020).

[6] JIANG X Y, XIA Y F, ZHANG X P et al. Robust image matching via local graph structure consensus[J]. Pattern Recognition, 126, 108588(2022).

[7] DING J, YAN Z G, WEI X C. High-accuracy recognition and localization of moving targets in an indoor environment using binocular stereo vision[J]. ISPRS Int J Geo Inf, 10, 234(2021).

[8] JIN Y R, SHI Z Y, XU X L et al. Target localization and grasping of NAO robot based on YOLOv8 network and monocular ranging[J]. Electronics, 12, 3981(2023).

[9] HAN Y. Reliable template matching for image detection in vision sensor systems[J]. Sensors, 21, 8176(2021).

[10] YANG Y, CHEN Z, LI X L et al. Robust template matching with large angle localization[J]. Neurocomputing, 398, 495-504(2020).

[11] ZHANG Y F, ZHANG Z, PENG S H et al. A rotation invariant template matching algorithm based on Sub-NCC[J]. Mathematical Biosciences and Engineering： MBE, 19, 9505-9519(2022).

[12] LI Y L. Research on High-Precision Substrate Positioning Algorithm for Inkjet Printing Equipment[D](2022).

     李永良. 喷墨打印装备高精度基板定位算法研究[D](2022).

[13] BEDAKA A K, LEE S C, MAHMOUD A M et al. A camera-based position correction system for autonomous production line inspection[J]. Sensors, 21, 4071(2021).

[14] LUO J X, LIN C H, WANG J P et al. Accurate image locating combining deep convolution network with SURF registering[J]. Opt. Precision Eng., 25, 469-476(2017).

     罗家祥, 林畅赫, 王加朋. 结合深度卷积网络与加速鲁棒特征配准的图像精准定位[J]. 光学 精密工程, 25, 469-476(2017).

[15] 欧闻. 面向喷墨打印的高精度基板角度检测与纠偏算法研究[D](2021).

     Research on High-Precision Substrate Angle Detection and Deviation Correction Algorithm for Inkjet Printing[D](2021).

[16] LV S J. Research on Inspection System and Key Technology of Flexible Substrate Based on Microscopic Vision[D](2016).

     吕斯俊. 基于显微视觉的柔性基板检测系统及关键技术研究[D](2016).

[17] TIAN J Y, WU J G, ZHAO Q C. Research progress of camera calibration methods in vision system[J]. Chinese Journal of Liquid Crystals and Displays, 36, 1674-1692(2021).

     田俊英, 伍济钢, 赵前程. 视觉系统中摄像机标定方法研究现状及展望[J]. 液晶与显示, 36, 1674-1692(2021).

[18] ZHANG Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330-1334(2000).

[19] LU R S, LI Y F. A global calibration method for large-scale multi-sensor visual measurement systems[J]. Sensors and Actuators A： Physical, 116, 384-393(2004).

[20] SUN P F, TAN H S, ZHOU F Q. A novel global calibration approach for multi-viewpoint 3D vision measuring system[J]. IEEE Access, 11, 71692-71704(2023).

[21] HU M K. Visual pattern recognition by moment invariants[J]. IRE Transactions on Information Theory, 8, 179-187(1962).