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Measurement and analysis of partial discharge on floating electrode defect in GIS 会议论文
作者:  Yao, Rui;  Zhang, Yanbin;  Si, Gangquan;  Yuan, Yiwei;  Xie, Qian
收藏  |  浏览/下载:3/0  |  提交时间:2019/11/26
Research on an algorithm of shape motion deblurring 会议论文
作者:  Wu, Xia;  Xu, Hongzhe;  Gui, Xiaolin;  Li, Wen;  Yao, Zhihai
收藏  |  浏览/下载:5/0  |  提交时间:2019/12/02
A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE) 会议论文
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
Lu J.; He B.
收藏  |  浏览/下载:17/0  |  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.  
Extracting sea-sky-line based on improved local complexity (EI CONFERENCE) 会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Dong Y.-F.; Zhang Y.-F.; Zhu C.; Wang A.-B.
收藏  |  浏览/下载:16/0  |  提交时间:2013/03/25
Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise  and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally  Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds  which is robust and can improve noise immunity of the algorithm. 2010 IEEE.  


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