中国科学院机构知识库网格
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Constructions of an evaluation framework for soil and water conservation techniques 期刊论文  OAI收割
CATENA, 2020, 卷号: 186, 页码: 10
作者:  
Luo, Han;  Hu, Xiaoning;  Xie, Yongsheng;  Wang, Jijun;  Guo, Mancai
  |  收藏  |  浏览/下载:84/0  |  提交时间:2020/05/19
MEGC 2019 - The second facial micro-expressions grand challenge 会议论文  OAI收割
Lille, France, May 14, 2019 - May 18, 2019
作者:  
See, John;  Yap, Moi Hoon;  Li, Jingting;  Hong, Xiaopeng;  Wang, Su-Jing
  |  收藏  |  浏览/下载:170/0  |  提交时间:2019/11/08
Driving and image enhancement for CCD sensing image system (EI CONFERENCE) 会议论文  OAI收割
2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China
Zhang M.; Ren J.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
The paper designs a driving circuit of high sensitive  wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique  the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.  
Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China
作者:  
Wang X.;  Xu S.-Y.;  Wang X.;  Wang X.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode  the premise doesn't exist because the scenes shot are different at any moment  which brings about difficulties to the selection of the focus measure. To evaluate the image definition  the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions  which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.  
Design of video auto focusing based on image processing (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Meng B.; Zhu M.; Cai C.-J.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
Novel excitation coils for non-destructive evaluation of non-magnetic metallic structures by high-T-c dc SQUID 期刊论文  OAI收割
SUPERCONDUCTOR SCIENCE & TECHNOLOGY, 2002, 卷号: 15, 期号: 6, 页码: 855
Chen, P; Chen, L; Li, J; Ong, CK
收藏  |  浏览/下载:18/0  |  提交时间:2013/09/24
Using confidence interval to summarize the evaluating results of DSM systems 期刊论文  OAI收割
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2000, 卷号: 15, 期号: 1, 页码: 73-83
作者:  
Shi, WS;  Tang, ZM;  Shi, JS
  |  收藏  |  浏览/下载:12/0  |  提交时间:2019/12/16