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Spectral Analysis, Properties and Nonsingular Preconditioners for Singular Saddle Point Problems 期刊论文  OAI收割
COMPUTATIONAL METHODS IN APPLIED MATHEMATICS, 2018, 卷号: 18, 期号: 2, 页码: 237-256
作者:  
Huang, Na;  Ma, Chang-Feng;  Zou, Jun
  |  收藏  |  浏览/下载:26/0  |  提交时间:2018/07/30
Obstacle avoidance method of robot based on admittance control 会议论文  OAI收割
Wuyishan, China, August 11-13, 2018
作者:  
Hu HS(胡红爽);  Tan XW(谈晓伟);  Jiang Y(姜勇)
  |  收藏  |  浏览/下载:39/0  |  提交时间:2019/09/28
Positive solutions for singular elliptic systems with convection term 期刊论文  OAI收割
JOURNAL OF FIXED POINT THEORY AND APPLICATIONS, 2017, 卷号: 19, 期号: 3, 页码: 2165-2175
作者:  
Motreanu, Dumitru;  Moussaoui, Abdelkrim;  Zhang, Zhitao
  |  收藏  |  浏览/下载:17/0  |  提交时间:2018/07/30
Optimal L-infinity Estimates for Galerkin Methods for Nonlinear Singular Two-point Boundary Value Problems 期刊论文  OAI收割
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2015, 卷号: 31, 期号: 3, 页码: 719-728
作者:  
Zhang, Xu;  Shi, Zhong-ci
  |  收藏  |  浏览/下载:21/0  |  提交时间:2018/07/30
Singularly perturbed boundary value problems for a class of second order turning point on infinite interval 期刊论文  OAI收割
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2012, 卷号: 28, 期号: 3, 页码: 485-494
作者:  
Lu, Hai-bo;  Ni, Ming-kang;  Wu, Li-meng
收藏  |  浏览/下载:19/0  |  提交时间:2015/09/09
Fingerprint Singular Point Detection Based on Multiple-Scale Orientation Entropy 期刊论文  OAI收割
IEEE SIGNAL PROCESSING LETTERS, 2011, 卷号: 18, 期号: 11, 页码: 679-682
作者:  
Chen, Hongtao;  Pang, Liaojun;  Liang, Jimin;  Liu, Eryun;  Tian, Jie
收藏  |  浏览/下载:38/0  |  提交时间:2015/08/12
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Dong Y.-X.;  Zhang H.-B.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:111/0  |  提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system  the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms  such as adaptive background prediction detecting method. When background has dispersion-decreasing structure  the traditional target detection algorithms would be more useful. But when the background has large gray gradient  such as sea-sky-line  sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature  in our opinion  from the perspective of mathematics  the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis  the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection  its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore  the purpose of the image preprocessing is to reduce the effects from noise  also to raise the SNR of image  and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics  the median filter is used to eliminate noise  improve signal-to-noise ratio  then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line  so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
On semi-convergence of parameterized Uzawa methods for singular saddle point problems 期刊论文  OAI收割
LINEAR ALGEBRA AND ITS APPLICATIONS, 2009, 卷号: 431, 期号: 5-7, 页码: 808-817
作者:  
Zheng, Bing;  Bai, Zhong-Zhi;  Yang, Xi
  |  收藏  |  浏览/下载:18/0  |  提交时间:2018/07/30
A Scale Stretch Method Based on ICP for 3D Data Registration 期刊论文  OAI收割
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2009, 卷号: 6, 期号: 3, 页码: 559-565
作者:  
Ying, Shihui;  Peng, Jigen;  Du, Shaoyi;  Qiao, Hong
收藏  |  浏览/下载:26/0  |  提交时间:2015/08/12
Color image quality assessment based on quaternion representation for the local variance distribution of RGB Channels (EI CONFERENCE) 会议论文  OAI收割
2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China
Yuqing W.; Ming Z.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
In this paper  Quaternions are used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is reinforced by using local variance. It encodes the local variance distribution of the RGB channels of a color image into the three imaginary parts of a quaternion. The luminance layer of the color image is taken as the real part of the quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The final assessment result is calculated by using the mid point of the distances. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods. 2009 IEEE.