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Automatic Segmentation of Fuzzy Laser Lines with Sub-Pixel Accuracy from the Uneven Background during Robotic Arc Welding 会议论文  OAI收割
2016 7th International Conference on Intelligent Systems, Modelling and Simulation, Bangkok, Thailand, January 25-27, 2016
作者:  
Wang ZZ(王振洲)
收藏  |  浏览/下载:29/0  |  提交时间:2016/12/21
Extracting impervious surface area and discussing urban expansion of Guangzhou (1990-2003) based on V-I-S model by using linear spectral mixture analysis method SCI/SSCI论文  OAI收割
2013
Fan F. L.; Deng Y. B.; Zhu Y. Q.
收藏  |  浏览/下载:38/0  |  提交时间:2014/12/24
Design of the real-time autofocusing system for collimator with long focus length and large aperture (EI CONFERENCE) 会议论文  OAI收割
2011 International Academic Conference on Numbers, Intelligence, Manufacturing Technology and Machinery Automation, MAMT 2011, December 24, 2011 - December 25, 2011, Wuhan, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:57/0  |  提交时间:2013/03/25
Large aperture collimator which has been widely used for calibrating and testing various optical devices plays an essential role in correlative laboratories. As being the basic testing and calibration equipment  the large aperture collimator's accuracy should be much higher than the device under testing in order to ensure the accuracy of the measurement. However  the process of adjusting the collimator is extremely complicated due to the collimator's large aperture and long focal length. So it is difficult to ensure the measurement's quality and easy to cause the system being vulnerable to the surrounding environment. One of the most common problems is defocus. In order to solve the problem above  this issue presents a new type of autocollimator autofocusing system which uses pentaprism instead of using large-aperture plane mirror  semiconductor lasers as light source and CCD sensor as receiver. The system is smaller  lighter  and more convenient when using. The computer simulation shows that the autofocusing system's resolution could reach the accuracy of 40m. If we use the relevant algorithms to execute the sub-pixel scanning  the resolution could reach the accuracy of 10m. It shows that the system could satisfy the required testing precision of testing large aperture optical device.  
A sub-pixel extraction method for the center of the circular structure from spot array calibration target (EI CONFERENCE) 会议论文  OAI收割
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
作者:  
Liu Y.;  Zhang T.;  Yang H.;  Gao X.;  Liu Y.
收藏  |  浏览/下载:97/0  |  提交时间:2013/03/25
Precise motion compensation based on weighted sub-pixel image matching (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
Liang H. G.
收藏  |  浏览/下载:39/0  |  提交时间:2013/03/25
This paper proposed a sub-pixel image correlation algorithm that can get more Precise result  its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image  the relativity of correspond location where match best with template will be most high  and in its neighbour range  the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy  the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one  we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper  some experiment data be proposed  it proved this sub-pixel image correlation can obtain better result. 2011 SPIE.  
Study on sub-pixel techniques for accurate image measurement of displacement (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:32/0  |  提交时间:2013/03/25
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:52/0  |  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.  
A new research of sub-pixel level accuracy of TDICCD remote sensing image registration (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:40/0  |  提交时间:2013/03/25
In the field of remote sensing imaging  TDICCD remote sensing images have a lot of their own characteristics  such as high-resolution  large amount of information  less overlapping parts of pixels  additional image blurring etc. Therefore  there exist many difficulties  especially in terms of high-accuracy registration of pairs of images. For that  this paper presents two new pixel interpolation method for sub-pixel level registering images that allows for scaling  translation and rotation. 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 greatly reduces the overall computational cost. The accuracy of the algorithm is evaluated by calculating correlation coefficient of couples of points belonging to images transformed with preset factors and also comparing it to other sorts of methods. The experiment results show that the accuracy of registration reaches 0.01 pixels. 2010 IEEE.  
Design of high precision star image locating method used in star sensor technology (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:  
Sun H.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:74/0  |  提交时间:2013/03/25
Nowadays star sensor technology used in aircraft attitude measurement has become more and more popular for its high precision  light weight  without attitude accumulation errors and other advantages. In order to enhance the accuracy of star sensor  it is critical to make efforts to promote the precision of star image locating. High precision star image locating method mentioned in this article includes two aspects. One is sub-pixel dividing algorithm used to acquire the coordinate of stars. The other one is imaging calibration method used to weaken the effect caused by imaging distortion. This method is finally realized in some type of star sensor system. Then an experiment is designed to verify the precision of the method. The result of the experiment shows that the precision of the method is 2" in the experimental environment. 2010 IEEE.