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浏览/检索结果: 共10条，第1-10条 帮助

条数/页： 排序方式：
Integrated Inspection of QoM, QoP, and QoS for AOI Industries in Metaverses 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2071-2078
作者:  Yutong Wang;  Yonglin Tian;  Jiangong Wang;  Yansong Cao;  Shixing Li
  |  收藏  |  浏览/下载：18/0  |  提交时间：2022/12/02
BV-Net: Bin-based Vector-predicted Network for tubular solder joint detection 期刊论文  OAI收割
MEASUREMENT, 2021, 卷号: 183, 页码: 8
作者:  Zhou, Chenlin;  Shen, Xiaofei;  Wang, Peng;  Wei, Wei;  Sun, Jia
  |  收藏  |  浏览/下载：59/0  |  提交时间：2021/11/04
EDDs: A series of Efficient Defect Detectors for fabric quality inspection 期刊论文  OAI收割
MEASUREMENT, 2021, 卷号: 172, 期号: 1, 页码: 8
作者:  Zhou, Tong;  Zhang, Jiabin;  Su, Hu;  Zou, Wei;  Zhang, Bohao
  |  收藏  |  浏览/下载：30/0  |  提交时间：2021/04/21
A structured light vision sensor for on-line weld bead measurement and weld quality inspection 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 卷号: 106, 期号: 5-6, 页码: 2065-2078
作者:  Han, Yanqing;  Fan, Junfeng;  Yang, Xiaozhong
  |  收藏  |  浏览/下载：86/0  |  提交时间：2020/03/30
Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component 期刊论文  OAI收割
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: Early Access, 期号: Early Access, 页码: 0
作者:  Zhang JB(张家斌);  Zhang ZT(张正涛);  Su H(苏虎);  Zou W(邹伟);  Gong XY(宫新一)
  |  收藏  |  浏览/下载：32/0  |  提交时间：2021/05/27
Research on real-time quality inspection of PET bottle caps 会议论文  OAI收割
2017 IEEE International Conference on Information and Automation (ICIA), Macau, China, July 18-20, 2017
作者:  Chen S(陈帅);  Xu M(许敏);  Ma Y(马钺)
  |  收藏  |  浏览/下载：21/0  |  提交时间：2017/12/21
Destriping of TDI-CCD remote sensing image (EI CONFERENCE) 会议论文  OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
作者:  He B.
收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25
Based on the characteristic of striping noise in remote sensing images  a new destriping technique for the improved threshold function using lifting wavelet transform is presented in this letter. It can overcome the shortcoming of the hard threshold function and soft threshold function. The lifting wavelet transform is easily realized. Also it is inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the improved threshold function with some traditional threshold functions both by visual inspection and by appropriate indexes of quality of the denoised images. Evaluations of the results based on several image quality indexes indicate that image quality has been improved after destriping. The destriped images are not only visually more plausible but also suitable for computerized analysis and it did better than the existed ones. 2010 IEEE.  
Destriping method using lifting wavelet transform of remote sensing image (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  He B.
收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25
Based on the characteristic of striping noise in remote sensing images  a new destriping noise technique for the improved multi-threshold method using lifting wavelet transform applied to remote sensing imagery is presented in this letter. Have used the lifting wavelet decomposition algorithm  the thresholds are determined by corresponding wavelet coefficients in every scale. Remote sensing imagery is so large that the algorithm must be fast and effective. The lifting wavelet transform is easily realized and inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the method with some traditional destriping methods both by visual inspection and by appropriate indexes of quality of the denoised images. From the comparison we can see that the adaptive threshold method can preserve the spectral characteristic of the images while effectively remove striping noise and it did better than the existed ones. 2010 IEEE.  
On-line quality inspection in laser blank welding using ART2 neural network 期刊论文  OAI收割
China Welding, 2006, 卷号: 15, 期号: 4, 页码: 51-54
作者:  Zou YY(邹媛媛);  Zhao MY(赵明扬);  Zhang L(张雷)
收藏  |  浏览/下载：18/0  |  提交时间：2012/05/29
Research and development of computer aided quality inspection and control system 会议论文  OAI收割
3rd International Conference on Electronic Commerce Engineering, HANGZHOU, China, October 24-27, 2003
作者:  Zhou XY(周晓晔);  Li FX(李凤霞)
收藏  |  浏览/下载：31/0  |  提交时间：2012/06/06