中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [5]
沈阳自动化研究所 [3]
长春光学精密机械与物... [2]
采集方式
OAI收割 [10]
内容类型
期刊论文 [6]
会议论文 [4]
发表日期
2022 [1]
2021 [2]
2020 [1]
2019 [1]
2017 [1]
2010 [2]
更多
学科主题
筛选
浏览/检索结果:
共10条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
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
Automated Optical Inspection
Metaverses
Quality Inspection
Transformers
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:58/0
  |  
提交时间:2021/11/04
Object detection
Defect detection
Quality inspection
Tubular solder joint detection
Deep learning
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
Defect detection
Convolutional neural network
Fabric quality inspection
Feature fusion
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
Weld bead measurement
Weld quality inspection
Structured light vision
Image processing
3D reconstruction
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
Quality Inspection
Quadrangular Object Detection
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
PET caps
online quality inspection
dynamic threshold
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
quality inspection
laser blank welding
neural network
ART2
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
quality inspection and control
CIMS
C/S structure
ORACLE DBMS
information integration