Zobrazeno 1 - 8
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pro vyhledávání: '"Zhouqi Liu"'
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
The traditional methods for multi-focus image fusion, such as the typical multi-scale geometric analysis theory-based methods, are usually restricted by sparse representation ability and the transferring efficiency of the fusion rules for the capture
Externí odkaz:
https://doaj.org/article/193fd3db1e2d43d0b25401ff941421ea
Publikováno v:
In Journal of Hazardous Materials September 2021
Autor:
Zhouqi Liu, Wang, Lei, Huang, Jin, Guo, Xinping, Cheng, Tianqi, Wang, Yuwei, Liu, Cong, Liu, ChunXiang
Publikováno v:
Automatic Control & Computer Sciences; Oct2023, Vol. 57 Issue 5, p504-513, 10p
Autor:
Zhouqi Liu, Lei Wang, Muhammad Tahir, Jin Huang, Tianqi Cheng, Xinping Guo, Yuwei Wang, ChunXiang Liu
Publikováno v:
International Journal of Advanced Computer Science and Applications. 14
Autor:
Jin Huang, Lei Wang, Zhouqi Liu, Yuwei Wang, Xinping Guo, Tianqi Cheng, Cong Liu, ChunXiang Liu
Publikováno v:
Journal of Imaging Science and Technology. :030401-1
A Medical Image Fusion Method Based on SIFT and Deep Convolutional Neural Network in the SIST Domain
Publikováno v:
Journal of Healthcare Engineering, Vol 2021 (2021)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
The traditional medical image fusion methods, such as the famous multi-scale decomposition-based methods, usually suffer from the bad sparse representations of the salient features and the low ability of the fusion rules to transfer the captured feat
Akademický článek
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Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
The traditional methods for multi-focus image fusion, such as the typical multi-scale geometric analysis theory-based methods, are usually restricted by sparse representation ability and the transferring efficiency of the fusion rules for the capture