中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Consistent Matrix: A Feature Selection Framework for Large-Scale Datasets 期刊论文  OAI收割
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 卷号: 31, 期号: 11, 页码: 4024-4038
作者:  
Yang, Tian;  Li, Yuan-Jiang;  Qian, Yuhua;  Wang, Fei-Yue
  |  收藏  |  浏览/下载:13/0  |  提交时间:2024/02/22
Generalised semi-tensor product of matrices 期刊论文  OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 1, 页码: 85-95
作者:  
Cheng, Daizhan;  Liu, Zequn;  Xu, Zhenhui;  Shen, Tielong
  |  收藏  |  浏览/下载:32/0  |  提交时间:2020/05/24
Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:30/0  |  提交时间:2013/03/25
Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE  PSNR  and SSIM. 2012 Springer-Verlag London Limited.  
Quaternion based assessment method for color image fusion algorithms (EI CONFERENCE) 会议论文  OAI收割
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
作者:  
Wang Y.;  Wang Y.
收藏  |  浏览/下载:19/0  |  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.  
Three-dimensional angular momentum projection in relativistic mean-field theory 期刊论文  OAI收割
PHYSICAL REVIEW C, 2009, 卷号: 79, 期号: 4, 页码: -
作者:  
Yao, J. M.;  Meng, J.;  Ring, P.;  Arteaga, D. Pena;  Yao, JM , Peking Univ, Sch Phys, State Key Lab Nucl Phys & Technol, Beijing 100871, Peoples R China
  |  收藏  |  浏览/下载:30/0  |  提交时间:2012/08/02
Assessment of color image fusion algorithms based on quaternion singular value decomposition (EI CONFERENCE) 会议论文  OAI收割
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
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:23/0  |  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.