| Classification of solder joint using feature selection based on Bayes and support vector machine H Wu, X Zhang, H Xie, Y Kuang, G Ouyang IEEE Transactions on Components, Packaging and Manufacturing Technology 3 (3 …, 2013 | 92 | 2013 |
| Solder joint inspection based on neural network combined with genetic algorithm W Hao, Z Xianmin, K Yongcong, O Gaofei, X Hongwei Optik 124 (20), 4110-4116, 2013 | 63 | 2013 |
| Solder joint recognition using mask R-CNN method H Wu, W Gao, X Xu IEEE Transactions on Components, Packaging and Manufacturing Technology 10 …, 2019 | 42 | 2019 |
| Solder joint defect classification based on ensemble learning H Wu Soldering & Surface Mount Technology 29 (3), 164-170, 2017 | 39 | 2017 |
| Hot-rolled steel strip surface inspection based on transfer learning model H Wu, Q Lv Journal of Sensors 2021, 1-8, 2021 | 17 | 2021 |
| Solder joint inspection using eigensolder features H Wu, X Xu Soldering & Surface Mount Technology 30 (4), 227-232, 2018 | 13 | 2018 |
| Particle swarm optimization-based optimal real Gabor filter for surface inspection H Wu, X Xu, J Chu, L Duan, P Siebert Assembly Automation 39 (5), 963-972, 2019 | 9 | 2019 |
| Solder joint inspection using imaginary part of Gabor features H Wu, T You, X Xu, A Rodic, PB Petrovic 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics …, 2021 | 7 | 2021 |
| Semi-Automatic Mask Generating for Electronics Component Inspection H Wu, W Gao, X Xu, S Xu https://ieeexplore.ieee.org/document/9239978, 2020 | 6 | 2020 |
| Object Detection Based on the GrabCut Method for Automatic Mask Generation H Wu, Y Liu, X Xu, Y Gao Micromachines 13 (12), 2095, 2022 | 4 | 2022 |
| Fully Convolutional Networks for automatically generating image masks to train Mask R-CNN H Wu, JP Siebert, X Xu 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1712 …, 2021 | 4 | 2021 |
| Optimize position and path planning of automated optical inspection H Wu Journal of Computational Information Systems 8 (7), 1652-1655, 2012 | 3 | 2012 |
| Automatic generation and detection method of LCD samples based on deep learning J Liu, H Wu, Y Liu, J Wang 2022 5th World Conference on Mechanical Engineering and Intelligent …, 2022 | 2 | 2022 |
| Electronic component detection based on image sample generation H Wu, Q Lv, J Yang, X Yan, X Xu Soldering & Surface Mount Technology 34 (1), 1-7, 2022 | 2 | 2022 |
| Uneven illumination surface defects inspection based on convolutional neural network H Wu, Y Liu, W Gao, X Xu arXiv preprint arXiv:1905.06683, 2019 | 2 | 2019 |
| 基于机器视觉的铜条表面缺陷检测系统的研究 吴浩 仪表技术与传感器, 86-88, 2016 | 2 | 2016 |
| Research of repeatable positioning accuracy of automatic optical inspection H Wu, X Xu 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2235 …, 2015 | 2 | 2015 |
| 基于统计建模的电子元件焊点图像匹配算法 吴浩， 张宪民， 邝泳聪， 欧阳高飞， 谢宏威 华南理工大学学报: 自然科学版 40 (1), 64-68, 2012 | 2 | 2012 |
| The research of the PCB location based on three layers of MARK point H Wu, XM Zhang, YC Kuang Advanced Materials Research 317, 869-876, 2011 | 2 | 2011 |
| An automatic and unsupervised image mask acquisition method based on generative adversarial networks H Wu, Y Liu, J Yang Systems Science & Control Engineering 12 (1), 2300835, 2024 | | 2024 |
