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Hardware-Oriented Algorithm for High-Speed Laser Centerline Extraction Based on Hessian Matrix 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 14
作者:  Li, Zhikai;  Ma, Liping;  Long, Xianlei;  Chen, Yunze;  Deng, Haitao;  Yan, Fengxia;  Gu, Qingyi
Adobe PDF(3764Kb)  |  收藏  |  浏览/下载：279/40  |  提交时间：2022/03/17
Hardware image processing  Hessian matrix  high-speed vision  laser centerline extraction  line-section 3-D reconstruction  
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 卷号: 1, 期号: 1, 页码: 1-11
作者:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
Adobe PDF(8384Kb)  |  收藏  |  浏览/下载：259/57  |  提交时间：2022/03/03
缺陷检测  
EDDs: A series of Efficient Defect Detectors for fabric quality inspection 期刊论文
MEASUREMENT, 2021, 卷号: 172, 期号: 1, 页码: 8
作者:  Zhou, Tong;  Zhang, Jiabin;  Su, Hu;  Zou, Wei;  Zhang, Bohao
Adobe PDF(1132Kb)  |  收藏  |  浏览/下载：309/57  |  提交时间：2021/04/21
Defect detection  Convolutional neural network  Fabric quality inspection  Feature fusion  
An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 5, 页码: 6314-6324
作者:  Wu, Ke;  Tan, Jie;  Xia, Hai Lun;  Liu, Cheng Bao
Adobe PDF(5488Kb)  |  收藏  |  浏览/下载：368/62  |  提交时间：2021/03/29
Surface reconstruction  Three-dimensional displays  Image reconstruction  Stereo vision  Reflective binary codes  Cameras  Sensors  Structured light  stereo vision  3D reconstruction  image fusion  
Combining Prior Knowledge With CNN for Weak Scratch Inspection of Optical Components 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 11
作者:  Hou, Wei;  Tao, Xian;  Xu, De
Adobe PDF(6798Kb)  |  收藏  |  浏览/下载：379/130  |  提交时间：2021/03/08
Convolutional neural network (CNN)  direction-sensitive convolution (DSC)  local maximum index (LMI)  optical component  weak scratch inspection  
CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection 期刊论文
Pattern Recognition, 2020, 卷号: 109, 期号: 0, 页码: 10
作者:  Zou W(邹伟)
浏览  |  Adobe PDF(1839Kb)  |  收藏  |  浏览/下载：163/49  |  提交时间：2020/10/22
Weakly supervised learning, Automated surface inspection, Defect detection, Knowledge distillation  
Visual Defect Inspection for Deep-Aperture Components With Coarse-to-Fine Contour Extraction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 6, 页码: 3262-3274
作者:  Gong, Xinyi;  Su, Hu;  Xu, De;  Zhang, Jiabin;  Zhang, Lei;  Zhang, Zhengtao
浏览  |  Adobe PDF(1324Kb)  |  收藏  |  浏览/下载：340/72  |  提交时间：2020/08/03
Coarse-fine positioning  deep-hole component  defect inspection  edge grouping  image processing  
An Ultrahigh-Speed Object Detection Method With Projection-Based Position Compensation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 7, 页码: 4796-4806
作者:  Li, Jianquan;  Long, Xianlei;  Xu, De;  Gu, Qingyi;  Ishii, Idaku
Adobe PDF(6758Kb)  |  收藏  |  浏览/下载：271/33  |  提交时间：2020/08/03
Field-programmable gate array (FPGA)  hardware implementation  histogram of oriented gradient (HOG)  object detection  pixel projection  ultrahigh-speed vision  
Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks 期刊论文
IEEE Transactions on Systems Man Cybernetics-Systems, 2018, 卷号: 50, 期号: 0, 页码: 0
作者:  Tao Xian;  Zhang Dapeng;  Wang Zihao;  Liu Xilong;  Zhang Hongyan;  Xu De
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载：855/337  |  提交时间：2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network  
Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 12, 页码: 4167-4179
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
Adobe PDF(2687Kb)  |  收藏  |  浏览/下载：568/186  |  提交时间：2018/10/02
Aerial refueling  landmark detection  monocular vision  multitask parallel deep convolution neural network (MPDCNN)  position measurement