中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Exchanges of economic plants along the land silk road 期刊论文  OAI收割
BMC PLANT BIOLOGY, 2022, 卷号: 22, 期号: 1, 页码: 619
作者:  
Wang, Guangyan;  Chen, Qian;  Yang, Ya;  Duan, Yuanwen;  Yang, Yongping
  |  收藏  |  浏览/下载:12/0  |  提交时间:2024/04/30
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.  
A new image fusion algorithm based on wavelet transform (EI CONFERENCE) 会议论文  OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
作者:  
He X.;  Zhang Y.;  Zhang L.-G.;  Zhang L.-G.
收藏  |  浏览/下载:13/0  |  提交时间:2013/03/25
Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wang X.;  Yang H.-J.;  Sui Y.-X.;  Yan F.;  Yan F.
收藏  |  浏览/下载:30/0  |  提交时间:2013/03/25
Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality  symmetry  compact support  and vanishing moment  which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper  a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera  where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First  a decomposition step is taken with the DMWT. After the decomposition step  a pyramid for each source image in each level can be obtained. Then  an optimized coefficient fusion rule consisting of activity level measurement  coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally  a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.  
基于本体论的民族知识获取与分析 期刊论文  OAI收割
计算机科学, 2003, 卷号: 30, 期号: 5, 页码: 47-54,81
王丽丽; 曹存根; 顾芳; 田雯
  |  收藏  |  浏览/下载:15/0  |  提交时间:2011/07/29
Large sample theory of the estimation of the error distribution for a semiparametric model 期刊论文  OAI收割
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1999, 卷号: 28, 期号: 9, 页码: 2025-2036
作者:  
Liang, H;  Hardle, W
  |  收藏  |  浏览/下载:12/0  |  提交时间:2018/07/30