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Real-time Traffic Monitoring with Magnetic Sensor Networks 期刊论文  OAI收割
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2011, 卷号: 27, 期号: 4, 页码: 1473-1486
作者:  
Zhang, Lei;  Wang, Rui;  Cui, Li
  |  收藏  |  浏览/下载:18/0  |  提交时间:2019/12/16
An appraisal method of dynamic interpolation error for high precision encoder (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electronics and Optoelectronics, ICEOE 2011, July 29, 2011 - July 31, 2011, Dalian, China
作者:  
Wan Q.-H.;  Liu C.-X.;  Liu C.-X.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
Research on the effect of clamp on rudder lift-drag characteristics (EI CONFERENCE) 会议论文  OAI收割
2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China
Zhang N.; Yang C.; Jia H.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
The Research of real time auto-recognition of the moire fringe (EI CONFERENCE) 会议论文  OAI收割
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:19/0  |  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.  
A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:  
He B.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
In terms of large field view and multi-channel TDICCD remote sensing images  previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration  and their noise immunity and robustness is not high. For that  this paper presents a more accurate and faster method  iterative pixel interpolation and surface fitting method. Firstly  the method uses the some overlapping pixels between multi-channel images. Secondly  the proposed technique  which is based on the maximization of the correlation coefficient function  combines an efficient pixel-moving interpolation scheme with surface fitting  which makes use of accurate interpolation calculation and fast surface fitting in the iterative process. Finally  the accuracy and speed of the algorithm is evaluated by sub-pixel registration of multi-channel images and comparison with other sorts of efficient methods. The experiment results show that the accuracy of the method reaches 0.01 pixels and it is 3 times faster than the interpolation method. In the registration of large field view and multi-channel TDICCD images  the method is accurate and fast  with greatly high stability  noise immunity and robustness. 2010 IEEE.  
Real-time matching algorithm of navigation image based on corner detection (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, June 17, 2009 - June 19, 2009, Beijing, China
作者:  
Zhang T.
收藏  |  浏览/下载:45/0  |  提交时间:2013/03/25
In order to meet requirement of real-time and high accuracy in image matching aided navigation  SSDA algorithm is used to match remote sensing image and template image coarsely  a fast and effective algorithm of remote sensing image matching based on corner detection is put forward. With the combination of rough and fine match  when the matching result is bigger than one to count absolute value sum of energy difference of characteristic point energy to realize fine match of remote sensing image and template image to locate the position of template image in remote sensing image accurately. Simulation experiment proves that the matching of a remote sensing image resolution of 1018*1530 and a template image resolution of 150*90 can be fulfilled within 2.392 second  wavelet transform is used to acquire low frequency component to realize image compression to decrease calculation work and increase matching speed. Harris corner detection algorithm is used to detect corner of remote sensing image and template image and energy of every corner is calculated  the algorithm is robust and effective  real time image navigation can be achieved. 2009 SPIE.  
Restoration of moving blurred image based on TMS320C6416 (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Liu W.
收藏  |  浏览/下载:41/0  |  提交时间:2013/03/25
To absolve image blur caused by camera's high speed  fixed-point DSP TMS320C6416 and wiener filtering algorithm are adopted to stabilize image. On the premise that cameras have uniform motion  restoration model for moving blurred image was researched  the principle of Wiener filtering is explained  the key technologies of moving blurred image restoration with TMS320C6416 are introduced: how to complete FFT calculation of 32bit and how to exert DMA function of DSP to enhance processing speed  ring effect and ghost effect in restored image are explained  and how the parameter of wiener filter affects ring effect and ghost effect is discussed  in addition to this  other reasons of ring effect and ghost effect are analyzed detailed. Experiments shows that One TMS320C6416 chip can restore seven frames per second  there is great hope to realize real-time restoration if adopting multi-DSP or the FFT completion by hardware.  
Self-consistent analysis of double-delta-doped InAlAs/InGaAs/InP HEMTs 期刊论文  OAI收割
chinese physics, 2006, 卷号: 15, 期号: 11, 页码: 2735-2741
Li DL (Li Dong-Lin); Zeng YP (Zeng Yi-Ping)
收藏  |  浏览/下载:42/0  |  提交时间:2010/04/11