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Research on the optical system of single-band all-sky airglow imager 会议论文
Chengdu, China, 2018-06-26
作者:  Li, Zhantao;  Han, Bin;  Xiao, Yang;  Yu, Tingting
收藏  |  浏览/下载:48/0  |  提交时间:2019/03/26
Modified phase diversity technique to eliminate Poisson noise for reconstructing high-resolution images 会议论文
Chengdu, China, 2018-06-26
作者:  Zhang, Ling;  Zhao, Hui;  Yi, Hongwei;  Fan, Xuewu;  Xie, Xiaopeng
收藏  |  浏览/下载:21/0  |  提交时间:2019/03/22
A NONLINEAR OPTIMIZATION ALGORITHM FOR EVALUATING THE PERFORMANCE OF MICROWAVE IMAGER COMBINED ACTIVE/PASSIVE 会议论文
Fort Worth, TX, JUL 23-28, 2017
作者:  Zhang, Lan-jie;  Wang, Zhen-zhan;  Zhang, Ruan-yu;  Yin, Xiao-bin
收藏  |  浏览/下载:20/0  |  提交时间:2018/05/04
Interference pattern period measurement at picometer level 会议论文
作者:  Jia, Wei;  Wei, Chunlong;  Xiang, Xiansong;  Lu, Yancong;  Li, Minkang
收藏  |  浏览/下载:31/0  |  提交时间:2017/12/25
Interference pattern period measurement at picometer level 会议论文
作者:  Lu, Yancong;  Wei, Chunlong;  Xiang, Xiansong;  Jia, Wei;  Zhou, Changhe
收藏  |  浏览/下载:23/0  |  提交时间:2017/12/25
Robust source localization using predictable mode subspace in the presence of interference in uncertain environments 会议论文
作者:  Liu, Zong-wei;  Lv, Lian-gang;  Jiang, Ying;  Yang, Chun-mei;  Yang, Guang-bing
收藏  |  浏览/下载:5/0  |  提交时间:2019/08/19
STATISTICAL EVALUATION OF THE PERFORMANCE IMPACT OF MANUFACTURING VARIATIONS FOR STEAM TURBINES 会议论文
Xiong, Juntao; Yang, Jing; McBean, Ivan; Havakechian, Said; Liu, Feng
收藏  |  浏览/下载:2/0  |  提交时间:2017/12/03
Perceptual Learning Based on Common Low-Level Representation among Older Adults 会议论文
2016年第一届北京视觉科学会议, 北京, 2016-07
作者:  Rui Ni;  Mikki Phan
收藏  |  浏览/下载:16/0  |  提交时间:2017/01/11
Electrical recording with iridium oxide modified microelectrodes in Drosophila melanogaster 会议论文
中国神经科学学会第十届全国学术会议, 北京,中国
作者:  Cheng ZHONG;  Yuan-Yuan ZHANG;  Yi LU;  Li-Ping WANG
收藏  |  浏览/下载:19/0  |  提交时间:2015/08/28
The Research of real time auto-recognition of the moire fringe (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wang M.-J.; Wu Z.-G.
收藏  |  浏览/下载:15/0  |  提交时间:2013/03/25
Measuring the movement of raster by the method of moire fringe has the advantage of high sensitivity  high resolution and non-contacted measurement. The characteristic of moire fringe is that the image is white alternate with black  the angle of the stripes is uniform  the width of the stripes is uniform  the terminators of the stripes aren't clear. A fast method that can figure out the width and angle of the moire fringe precisely is put forward in this paper. It calculates the angle the stripes firstly. According to the principle of the minimum mean squared error (MMSE)  the closer a series of data is  the smaller the value of the MMSE will be. The method is described as follows: It takes the image's center as the origin  180 beelines pass through the origin with the same angle interval. it calculates the value of the minimum mean squared error of the 180 beelines and find out the least one among those  then the angle of the moire fringe comes out primarily. In order to improving the calculating precision of moire fringe  60 equal angles are divided in the neighborhood of the angle  then a precise angle of moire fringe is calculated according to the principle of the MMSE. After getting out the angle of the moire fringe  we begin to calculate the width of moire fringe. A line vertical with the moire fringe is drawn  and we can get the width of the moire fringe by the vertical line. In order to get over the influence of the noise  an effective area with the shape of diamond is selected in the image. The data of area is accumulated and projected according to the direction of moire fringe  and a sine curve come out. The width of moire fringe can be obtained by getting the position of the first wave crest  the position of the last wave crest and the number of wave crest. Experiments prove that the precision of the method put forward in this paper is enhanced in comparison with the traditional frequency method  the precision of width calculation achieves to 99.6% according to the evaluation indicators of width detection error. The computing speed is boosted largely compared with traditional method  and it can achieve with 15 ms  that satisfying the demand of real time. 2011 SPIE.  


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