[1] 董云宁, 闫睿, 梁进智, 等. 超灵敏度真空检漏技术进展[J]. 真空科学与技术学报,2023,43(08):647653(in Chinese) doi: 10.13922/j.cnki.cjvst.202108018 Dong Yunning, Yan Rui, Liang Jinzhi, et al. The development of ultrasensitive leak detection technology[J]. Chinese Journal of Vacuum Science and Technology,2023,43(08):647653 doi: 10.13922/j.cnki.cjvst.202108018
[2] 卢耀文, 李得天, 齐京, 等. 一种下限为5×10−16 Pa·m−3/s的高精度超灵敏度检漏装置[J]. 真空科学与技术学报,2019,39(1):1−5(in Chinese) doi: 10.13922/j.cnki.cjovst.2016.05.10 Lu Yaowen, Li Detian, Qi Jing, et al. Design of ultrasensitive leak detector with lower detection limit of 5×10−16 Pa·m3/s[J]. Chinese Journal of Vacuum Science and Technology,2019,39(1):1−5 doi: 10.13922/j.cnki.cjovst.2016.05.10
[3] 林晶, 钱锋, 刘壮, 等. 汽车零部件常压快速检漏系统的设计[J]. 真空科学与技术学报,2016,36(05):547550(in chinese) doi: 10.13922/j.cnki.cjovst.2016.10.16 Lin Jing, Qian Feng, Liu Zhuang, et al. Novel technique for rapid leak detection of auto parts under ambient conditions[J]. Chinese Journal of Vacuum Science and Technology,2016,36(05):547550 doi: 10.13922/j.cnki.cjovst.2016.10.16
[4] 孙伟, 闫荣鑫, 孙立臣, 等. 液体向真空泄漏的数学模型研究[J]. 真空科学与技术学报,2016,36(10):1180−1186(in Chinese) Sun Wei, Yan Rongxin, Sun Lichen, et al. Modeling and simulation of weakly-pressured leakage of incompressible fluid into vacuum[J]. Chinese Journal of Vacuum Science and Technology,2016,36(10):1180−1186
[5] 吴春龙, 潘海鹏, 夏永明. 基于光流法的气密性检测装置研究[J]. 机电工程,2013,30(8):947−951(in Chinese) Wu Chunlong, Pan Haipeng, Xia Yongming. Airtightness detection system based on optical flow meth-od[J]. Journal of Mechanical & Electrical Engineering,2013,30(8):947−951
[6] Singla N. Motion detection based on frame difference method[J]. International Journal of Information & Computation Technology, 2014, 4(15): 1559-1565
[7] Javed S, Oh S H, Jung S K. IPBAS: Improved pixel based adaptive background segmenter for background subtraction [C]//Human Computer Interaction. 2014
[8] Barnich O, Van Droogenbroeck M. ViBe: a powerful random technique to estimate the background in video sequences[C]//2009 IEEE international conference on acoustics, speech and signal processing. IEEE, 2009: 945−948
[9] Olivier B, Marc D V. Vibe: a universal background subtraction algorithm for video sequences[J]. IEEE transactions on image processing: a publication of the IEEE Signal Processing Society,2011,20(6):1709−1724 doi: 10.1109/TIP.2010.2101613
[10] Gunawan G, Nuriyanto H, Sriadhi S, et al. Mobile application detection of road damage using canny algorithm[J]. Journal of Physics: Conference Series,2018,1019(1):012035−012035
[11] 安云凤, 潘海鹏 . 一种新的三帧差运动气泡检测方法[J]. 光电子·激光,2016,27(09):963−972(in Chinese) doi: 10.161-36/j.joel.2016.09.0859 An Yunfeng, Pan Haipeng. A new method for moving bubbles detection based on frame difference[J]. Journal of Optoelectronics· Laser,2016,27(09):963−972 doi: 10.161-36/j.joel.2016.09.0859
[12] 杜文汉, 李东兴, 王倩楠, 等. 融合改进帧差和边缘提取算法的运动目标检测[J]. 科学技术与工程,2022,22(05):1944−1949. (in Chinese) Du Wenhan, Li Dongxing, Wang Qiannan, et al. Moving Target detection based on improved fame difference and edge extraction algorithm[J]. Science Technology and Engineering,2022,22(05):1944−1949
[13] 张应辉, 刘养硕. 基于帧差法和背景差法的运动目标检测[J]. 计算机技术与发展,2017,27(02):25−28(in Chinese) Zhang Yinghui, Liu Yangshuo. Moving object detection based on method of frame difference and background subtraction[J]. Computer Technology and Development,2017,27(02):25−28
[14] 于新善, 孟祥印, 金腾飞, 等. 基于改进Canny算法的物体边缘检测算法[J]. 激光与光电子学进展, 20-3, 60(22): 221−230(in Chinese) Yu Xinshan, Meng Xiangyin, Jin Tengfei, et al, Object edge detection algorithm based on improved canny algorithm improved image measurement edge detection based on canny operator[J]. 20-3, 60(22): 221−230
[15] 李昺星, 任江龙. 基于改进Canny算子高低阈值选取的遥感图像边缘检测[J]. 现代信息科技, 2022, 6(20): 8183+89(in Chinese) Li Bingxing, Ren Jianglong. Remote sensing image edge detection based on improved canny operator high and low threshold selection[J]. Modern Information Technology, 2022, 6(20): 8183+89
[16] Kumari M K, Christian O, Daniel K, et al. Automatic extraction of large-scale aquaculture encroachment areas using canny edge otsu algorithm in google earth engine the case study of kolleru lake, south india[J]. Geocarto International,2022,37(26):11173−11189 doi: 10.1080/10106049.2022.2046872
[17] 许宏科, 秦严严, 陈会茹. 一种基于改进 Canny 的边缘检测算法[J]. 红外技术,2014,36(3):210−214(in Chinese) Xu Hongke, Qin Yanyan, Chen Huiru. An improved algorithm for edge detection based on canny[J]. Infrared Technology,2014,36(3):210−214
[18] Tao L, Zhao Z, Zheng L, et al. An approach to ship target detection based on combined optimization model of dehazing and detection[J]. Engineering Applications of Artificial Intelligence,2024,127(PB):107332