工业铸件缺陷无损检测技术的应用进展与展望

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工业铸件缺陷无损检测技术的应用进展与展望

2024-06-20 18:24| 来源: 网络整理| 查看: 265

Author Bio:

ZHANG Hui Professor at the School of Robotics, Hunan University. He received his bachelor, master and Ph.D. degrees from Hunan University in 2004, 2007 and 2012. His research interest covers industrial machine vision and digital image processing. Corresponding author of this paper

ZHANG Zou-Quan Master student at the School of Electrical and Information Engineering, Changsha University of Science and Technology. His research interest covers deep learning and visual inspection

CHEN Yu-Rong Ph.D. candidate at the School of Electrical and Information Engineering, Hunan University. He received his master degree from University of Pittsburgh in 2020. His research interest covers image processing, machine learning and domain adaptionon

WU Tian-Yue Master student at the School of Electrical and Information Engineering, Changsha University of Science and Technology. Her research interest covers deep learning and visual inspection

ZHONG Hang Postdoctor at Hunan University. He received his bachelor, master and Ph.D. degrees from Hunan University in 2013, 2016 and 2020. His research interest covers robotics control, visual servo and path planning

WANG Yao-Nan Academician at Chinese Academy of Engineering, professor at the School of Robotics, Hunan University. He received his Ph.D. degree from Hunan University in 1995. His research interest covers robotics, intelligent control and image processing

收稿日期 2021-02-26 录用日期 2021-06-06 Manuscript received February 26, 2021; accepted June 6, 2021 国家重点研发计划 (2018YFB1308200), 国家自然科学基金 (61971071, 92148204), 湖南省杰出青年科学基金项目 (2021JJ10025), 湖南省重点研发计划 (2021GK4011, 2022GK2011), 机器人学国家重点实验室联合开放基金 (2021-KF-22-17)资助 Supported by National Key Research and Development Program of China (2018YFB1308200), National Natural Science Foundation of China (61971071, 92148204), Hunan Science Fund for Distinguished Young Scholars (2021JJ10025), Hunan key research and development program (2021GK4011, 2022GK2011) and Joint Open Foundation of State Key Laboratory of Robotics (2021-KF-22-17) 本文责任编委 徐德 Recommended by Associate Editor XU De 1. 湖南大学机器人学院 长沙 410082 2. 长沙理工大学电气与信息工程学院 长沙 410114 1. School of Robotics, Hunan University, Changsha 410082 2. School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114


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