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自适应特征融合的多尺度核相关滤波目标跟踪 期刊论文
光学学报, 2020, 页码: 1-20
Authors:  陈法领;  丁庆海;  常铮;  陈宏宇;  罗海波;  惠斌;  刘云鹏
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计算机视觉  目标跟踪  核相关滤波  自适应特征融合  多尺度估计  
基于改进Faster R-CNN的子弹外观缺陷检测技术研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  马晓云
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目标检测  Faster R-CNN  子弹外观缺陷  K-means++  卷积神经网络  
基于机器视觉的木材在线分级方法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  孙棪伊
Adobe PDF(5253Kb)  |  Favorite  |  View/Download:29/3  |  Submit date:2019/07/14
机器视觉  特征提取  分类器  深度学习  分级  
基于三维点云的目标识别与定位方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  鲁荣荣
Adobe PDF(6810Kb)  |  Favorite  |  View/Download:61/15  |  Submit date:2019/07/14
目标识别  点云分割  点对特征  三维局部特征  几何约束  
Paraspinal Muscle Segmentation Based on Deep Neural Network 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 12, 页码: 1-13
Authors:  Li HX(李海星);  Luo HB(罗海波);  Liu YP(刘云鹏)
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paraspinal muscles  segmentation  U-Net  residual module  FPA module  
水下光学图像中目标探测关键技术研究综述 期刊论文
激光与光电子学进展, 2019, 页码: 1-18
Authors:  林森;  赵颍
View  |  Adobe PDF(1176Kb)  |  Favorite  |  View/Download:52/19  |  Submit date:2019/09/05
数字图像处理  水下图像预处理  水下目标检测识别  水下目标跟踪  深度学习  
A Noninvasive System for the Automatic Detection of Gliomas Based on Hybrid Features and PSO-KSVM 期刊论文
IEEE Access, 2019, 卷号: 7, 页码: 13842-13855
Authors:  Song GL(宋国立);  Huang Z(黄钲);  Zhao YW(赵忆文);  Zhao XG(赵新刚);  Liu YH(刘云辉);  Bao, Min;  Han JD(韩建达);  Li P(李鹏)
View  |  Adobe PDF(13698Kb)  |  Favorite  |  View/Download:153/25  |  Submit date:2019/03/09
Modified CLBP  PSO-KSVM  Glioma detection  hybrid features  skull removal  
Low-cost biometric recognition system based on NIR palm vein image 期刊论文
IET BIOMETRICS, 2019, 卷号: 8, 期号: 3, 页码: 206-214
Authors:  Wu W(吴微);  Elliott, Stephen John;  Lin S(林森);  Yuan, Weiqi
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Feature extraction method based on improved linear LBP operator 会议论文
Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019, Chengdu, China, March 15-17, 2019
Authors:  Sun YY(孙棪伊);  Chen S(陈帅);  Gao L(高亮)
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feature extraction  structural similarity  LBP operator  linear features  wood grain  
MR-Forest: A Deep Decision Framework for False Positive Reduction in Pulmonary Nodule Detection 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2019, 页码: 1-12
Authors:  Zhu, Hongbo;  Zhao, Hai;  Song CH(宋纯贺);  Bian, Zijian;  Bi, Yuanguo;  Liu, Tong;  He, Xuan;  Yang, Dongxiang;  Cai, Wei
Adobe PDF(5251Kb)  |  Favorite  |  View/Download:7/1  |  Submit date:2019/11/14
False positive reduction  Spherical surface feature  Deep decision  ORFs  Computer tomography