机构

• 成都山地灾害与环境研... [2]
• 长春光学精密机械与物... [2]
• 高能物理研究所 [2]
• 金属研究所 [1]
• 自动化研究所 [1]
• 云南天文台 [1]
• 更多

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [7]
• 会议论文 [3]

发表日期

• 2024 [1]
• 2022 [1]
• 2018 [2]
• 2016 [3]
• 2015 [1]
• 2012 [1]
• 更多

学科主题

• Computer S... [1]

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Exploring Neighbor Spatial Relationships for Enhanced Lumbar Vertebrae Detection in X-ray Images 期刊论文  OAI收割 ELECTRONICS, 2024, 卷号: 13 作者:  Zeng, Yu;  Wang, Kun;  Dai, Lai;  Wang, Changqing;  Xiong, Chi   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/11/20 lumbar vertebrae detection  spatial relationship  deep learning  X-ray image analysis   An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10 作者:  Yang, Lei;  Song, Shouan;  Fan, Junfeng;  Huo, Benyan;  Li, En   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/06/06 Welding  Feature extraction  Image segmentation  Inspection  X-ray imaging  Manufacturing  Task analysis  Attention model  convolutional long short-term memory (ConvLSTM)  defect detection  feature fusion  hybrid loss  image segmentation   Effects of seasonal water-level fluctuation on soil pore structure in the Three Gorges Reservoir, China 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2018, 卷号: 15, 期号: 10, 页码: 2192-2206 作者:  Zhang Shu-juan;  Tang Qiang;  Bao Yu-hai;  He Xiu-bin;  Tian Feng-xia   |  收藏  |  浏览/下载：57/0  |  提交时间：2018/11/07 Soil pore structure  X-ray computed tomography  Image analysis  Wetting and drying cycles  Water-level fluctuation  Three Gorges Reservoir   Effects of seasonal water-level fluctuation on soil pore structure in the Three Gorges Reservoir, China 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2018, 卷号: 15, 期号: 10, 页码: 2192-2206 作者:  Zhang Shu-juan;  Tang Qiang;  Bao Yu-hai;  He Xiu-bin;  Tian Feng-xia   |  收藏  |  浏览/下载：22/0  |  提交时间：2020/10/26 Soil pore structure  X-ray computed tomography  Image analysis  Wetting and drying cycles  Water-level fluctuation  Three Gorges Reservoir   Application of a multiscale maximum entropy image restoration algorithm to HXMT observations 期刊论文  OAI收割 Chinese Physics C, 2016, 卷号: 40, 期号: 8, 页码: 86203 作者:  Song, Li-Ming;  Guan, Ju;  Huo, Zhuo-Xi   |  收藏  |  浏览/下载：31/0  |  提交时间：2019/07/11 data analysis  image restoration  MSME  diffuse X-ray source   Application of a multiscale maximum entropy image restoration algorithm to HXMT observations 期刊论文  OAI收割 CHINESE PHYSICS C, 2016, 卷号: 40, 期号: 8 作者:  Guan, J;  Huo, ZX;  Guan J(关菊);  Song LM(宋黎明);  Song, LM   |  收藏  |  浏览/下载：24/0  |  提交时间：2017/07/27 data analysis  image restoration  MSME  diffuse X-ray source   X-ray Image Processing Methods in Minimally Invasive Spine Surgery 会议论文  OAI收割 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), Zhejiang Univ, Hangzhou, PEOPLES R CHINA, 2016-09-11 作者:  Zhang, Huanbo;  Shen, Xianglin;  Dong L(董亮);  Miao, Sheng;  Ma, Qin 收藏  |  浏览/下载：31/0  |  提交时间：2017/04/17 component  BIBLIOMETRIC ANALYSIS  X-ray image  ENHANCEMENT  image processing  image enhancement  edge detection   Characterisation of three-dimensional porosity in an Fe-based amorphous coating and its correlation with corrosion behaviour 期刊论文  OAI收割 Corrosion Science, 2015, 卷号: 93, 页码: 211-221 S. D.; Zhang Zhang, W. L.; Wang, S. G.; Gu, X. J.; Wang, J. Q. 收藏  |  浏览/下载：42/0  |  提交时间：2015/05/08 Glass  Iron  Metal coatings  Polarisation  Passivity  bulk metallic glasses  electrochemical impedance spectroscopy  stainless-steel coatings  plasma-sprayed coatings  x-ray  microtomography  nacl aqueous-solution  pvd coated steels  image-analysis  quantitative-determination  pit initiation   The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文  OAI收割 4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia Ming-Hui Z.; Yao-Yu Z. 收藏  |  浏览/下载：66/0  |  提交时间：2013/03/25 Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast  powerful computer disposal function  little radiation dosage  non-film diagnosis  different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging  caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc.  can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality  and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details  aiming at the defects  an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect  the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications  Switzerland.   Analysis model of X-ray coherent scatter images (EI CONFERENCE) 会议论文  OAI收割 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, October 16, 2010 - October 18, 2010, Yantai, China 作者:  Liu J.;  Liu J.;  Li Y.;  Li Y.;  Li Y. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 X-ray coherent scatter imaging with diagnostic equipment is feasible. The energy distribution extracting from image is a way to get information hidden in images. In this paper  a new analysis model of x-ray scatter images was presented. With the model some situations of real coherent scatter image affected by noise  eccentricity and energy distribution were simulated. The result shows that the clinical x-ray coherent scatter can be simulated well by a Gauss distribution model. And an inner correlation algorithm was discussed to help calculate center approaching the theory center with the model. 2010 IEEE.