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An Enhanced Latent Semantic Analysis Approach for Arabic Document Summarization 期刊论文
Arabian Journal for Science and Engineering, 2018, 卷号: 43, 期号: 12, 页码: 8079-8094
作者:  Al-Sabahi, Kamal;  Zhang, Zuping*;  Long, Jun;  Alwesabi, Khaled
收藏  |  浏览/下载：10/0  |  提交时间：2019/12/03
Extrapolation methods to compute hypersingular integral in boundary element methods 期刊论文
http://dx.doi.org/10.1007/s11425-013-4593-1, 2013
Li Jin; Zhang XiaoPing; Yu DeHao; 余德浩
收藏  |  浏览/下载：3/0  |  提交时间：2015/07/22
Extrapolation methods to compute hypersingular integral in boundary element methods 期刊论文
SCIENCE CHINA-MATHEMATICS, 2013, 卷号: 56, 期号: 8, 页码: 1647-1660
作者:  Li Jin;  Zhang XiaoPing;  Yu DeHao
收藏  |  浏览/下载：1/0  |  提交时间：2021/01/14
An Analytical Solution for the Antiplane Elastic Problem with a Parabolic Crack 期刊论文
Journal of Hunan University. Natural Sciences, 2012, 卷号: Vol.39 No.8, 页码: 39-42
作者:  Xiao Wanshen;  Zou Xiaoshan;  Zou Weisheng
收藏  |  浏览/下载：4/0  |  提交时间：2020/01/05
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Dong Y.-X.; Li Y.; Zhang H.-B.
收藏  |  浏览/下载：98/0  |  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).  
Numerical and experimental analyses of singular electro-elastic fields around a V-shaped notch tip in piezoelectric materials 期刊论文
2010, 2010
Chen, Meng-Cheng; Ping, Xue-Cheng; Xie, Hui-Min; Liu, Zhan-Wei
收藏  |  浏览/下载：3/0
Quaternion based assessment method for color image fusion algorithms (EI CONFERENCE) 会议论文
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
Pang H.; Zhu M.; Wang Y.
收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25
A new approach to assess the performance of color image fusion algorithms is proposed. The color information is fully used by this method. Quaternions are used to encode the pixels in a color image into a quaternion matrix. Local variance of the luminance layer of the color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of a quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to one of the source image and the fused image is used to measure their structural similarity. Edge information transferring is used to balance the sensitivity of the assessment methods. Experimental results show that the proposed assessment method is better consistent with the HVS than some of the state-of-the-art method. Accurate assessment results can be given by the proposed method for various of color image fusion algorithms by using the source images and the fused image. 2010 IEEE.  
Color image quality assessment based on quaternion representation for the local variance distribution of RGB Channels (EI CONFERENCE) 会议论文
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：16/0  |  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.  
Assessment of color image fusion algorithms based on quaternion singular value decomposition (EI CONFERENCE) 会议论文
MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China
Wang Y.; Zhu M.; Pang H.; Wang Y.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
In this paper  a new approach to objectively assess the performance of image fusion algorithms is proposed. It is based on the quaternion representation for the structural information of color images. Quaternions are used to encode the pixels of a color image into a quaternion matrix. Local variance of the luminance layer of color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to the source image and the fused image is used to measure the structural similarity of them. Different weight is given to the source images by using variance. The experiment results show that the proposed assessment method is consistent with the HVS. The color information of a color image can be fully used by this method. It can give an accurate assessment result for each fusion algorithm by using the source images and the fused image. 2009 Copyright SPIE - The International Society for Optical Engineering.  
Color image quality assessment based on quaternion singular value decomposition (EI CONFERENCE) 会议论文
1st International Congress on Image and Signal Processing, CISP 2008, May 27, 2008 - May 30, 2008, Sanya, Hainan, China
Wang Y.; Liu W.; Wang Y.
收藏  |  浏览/下载：12/0  |  提交时间：2013/03/25
An effective assessment method for color image is proposed. It is based on the quaternion description for the structural information of color image. The local variance of the luminance layer of color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices correspond to the reference image and the distorted image is used to measure the structural similarity of the two images. Results from experiments show that the proposed method is better consistent with the human visual characteristics than MSE  PSNR and SSIM. The images whose size is different from that of the reference image can also be assessed by this method. 2008 IEEE.  

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