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浏览/检索结果: 共13条，第1-10条 帮助

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A Novel Method for LCD Module Alignment and Particle Detection in Anisotropic Conductive Film Bonding 期刊论文  OAI收割
MACHINES, 2023, 卷号: 11, 期号: 1, 页码: 19
作者:  Li, Tengyang;  Zhang, Feng;  Yang, Huabin;  Luo, Huiyuan;  Zhang, Zhengtao
  |  收藏  |  浏览/下载：22/0  |  提交时间：2023/03/20
Concrete Defects Inspection and 3D Mapping Using CityFlyer Quadrotor Robot 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 991-1002
作者:  Liang Yang;  Bing Li;  Wei Li;  Howard Brand;  Biao Jiang
  |  收藏  |  浏览/下载：17/0  |  提交时间：2021/03/11
Concrete defects inspection and 3D mapping using CityFlyer quadrotor robot 期刊论文  OAI收割
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 991-1002
作者:  Yang L(杨亮);  Li, Bing;  Li, Wei;  Brand, Howard;  Jiang, Biao
  |  收藏  |  浏览/下载：12/0  |  提交时间：2020/07/18
Vision-based autonomous navigation approach for unmanned aerial vehicle transmission-line inspection 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 1, 页码: 1-15
作者:  Hui, Xiaolong;  Bian, Jiang;  Zhao, Xiaoguang;  Tan, Min
  |  收藏  |  浏览/下载：41/0  |  提交时间：2018/05/06
A novel contour extraction algorithm based on dynamic programming in sausage visual inspection system 会议论文  OAI收割
2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS), Xi'an, CHINA, December 2-4, 2016
作者:  Gao L(高亮);  Ma Y(马钺);  Chen S(陈帅)
  |  收藏  |  浏览/下载：24/0  |  提交时间：2017/06/20
Bearing defect inspection based on machine vision 期刊论文  OAI收割
MEASUREMENT, 2012, 卷号: 45, 期号: 4, 页码: 719-733
作者:  Shen, Hao;  Li, Shuxiao;  Gu, Duoyu;  Chang, Hongxing
收藏  |  浏览/下载：63/0  |  提交时间：2015/08/12
双臂巡线机器人系统设计与越障控制方法研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者:  杨国栋
收藏  |  浏览/下载：113/0  |  提交时间：2015/09/02
Measurement and Defect Detection of the Weld Bead Based on Online Vision Inspection 期刊论文  OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2010, 卷号: 59, 期号: 7, 页码: 1841-1849
作者:  Li, Yuan;  Li, You Fu;  Wang, Qing Lin;  Xu, De;  Tan, Min
收藏  |  浏览/下载：24/0  |  提交时间：2015/08/12
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：28/0  |  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.