中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
新疆生态与地理研究所 [1]
长春光学精密机械与物... [1]
西安光学精密机械研究... [1]
软件研究所 [1]
采集方式
OAI收割 [4]
内容类型
会议论文 [3]
期刊论文 [1]
发表日期
2014 [1]
2010 [1]
2008 [1]
2007 [1]
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Corner detection using Gabor filters
期刊论文
OAI收割
iet image processing, 2014, 卷号: 8, 期号: 11, 页码: 639-646
作者:
Zhang, Wei-Chuan
;
Wang, Fu-Ping
;
Zhu, Lei
;
Zhou, Zuo-Feng
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2015/03/19
edge detection
Gabor filters
grey systems
affine transforms
Gabor filter
contour-based corner detection
magnitude response
edge contour shape analysis
local curvature maxima points
planar curve
corresponding grey-variation information
Canny edge detector
normalised magnitude response
magnitude response threshold
angle threshold
detection accuracy
localisation accuracy
afflne transform
noise-robustness
empirical evaluation of content-based pub/sub systems over cloud infrastructure
会议论文
OAI收割
IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, EUC 2010, Hong Kong, 40878
Biao Zhang
;
Beihong Jin
;
Haibiao Chen
;
Ziyuan Qin
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2011/03/31
Once Pub Sub
PADRES
Xen Cloud Platform
black-box method
cloud infrastructure
content-based pub-sub systems
grey-box method
load balance mechanism
white-box method
cloud computing
message passing
middleware
resource allocation
Using GM (1,1) models to predict groundwater level in the lower reaches of Tarim River: A demonstration at Yingsu section
会议论文
OAI收割
5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD, Jinan, Shandong, China, 2008
Xu
;
Jianhua1
;
Chen
;
Yaning2
;
Li
;
Weihong2
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2011/08/23
Cybernetics - Forecasting - Fuzzy logic - Fuzzy systems - Granular materials - Groundwater - Rivers - System theory - Underground reservoirs - Accuracy tests - Complex systems - Grey forecasting - Grey system theories - Grey systems - Groundwater levels - Monitoring wells - Tarim rivers - Time lags - White colors
Research on the affect of differential-images technique to the resolution of infrared spatial camera (EI CONFERENCE)
会议论文
OAI收割
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China
Jin G.
;
An Y.
;
Qi Y.
;
Hu F.
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2013/03/25
The optical system of infrared spatial camera adopts bigger relative aperture and bigger pixel size on focal plane element. These make the system have bulky volume and low resolution. The potential of the optical systems can not be exerted adequately. So
one method for improving resolution of infrared spatial camera based on multi-frame difference-images is introduced in the dissertation. The method uses more than one detectors to acquire several difference images
and then reconstructs a new high-resolution image from these images through the relationship of pixel grey value. The technique of difference-images that uses more than two detectors is researched
and it can improve the resolution 2.5 times in theory. The relationship of pixel grey value between low-resolution difference-images and high-resolution image is found by analyzing the energy of CCD sampling
a general relationship between the enhanced times of the resolution of the detected figure with differential method and the least count of CCD that will be used to detect figure is given. Based on the research of theory
the implementation process of utilizing difference-images technique to improve the resolution of the figure was simulated used Matlab software by taking a personality image as the object
and the software can output the result as an image. The result gotten from the works we have finished proves that the technique is available in high-resolution image reconstruction. The resolution of infrared spatial camera can be improved evidently when holding the size of optical structure or using big size detector by applying for difference image technique. So the technique has a high value in optical remote fields.