Introducing an efficient method for feature extraction in image retrieval systems
X
Xiaojun Zhao
(International Joint Laboratory for Light Alloys (MOE), College of Materials Science and Engineering, Chongqing University, Chongqing, China.)
F
Feng He
(Institute of Environmental Processes and Pollution Control, School of Environment and Ecology)
K
Kun Li
(Department of Materials Science, Institute of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
December 12, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (3)
X
Xiaojun Zhao
International Joint Laboratory for Light Alloys (MOE), College of Materials Science and Engineering, Chongqing University, Chongqing, China.
F
Feng He
Institute of Environmental Processes and Pollution Control, School of Environment and Ecology
K
Kun Li
Department of Materials Science, Institute of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
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