Image Feature Extraction
Image Feature Extraction is a computational process in image quantification that identifies and isolates distinctive, measurable characteristics from digital images to facilitate subsequent analysis, distinguished by its focus on transforming raw pixel data into meaningful representations such as edges, textures, shapes, or keypoints.
3.3K
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164.2K
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Publications per year
2017–2026
1.4K
Parents
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Fundamentals of digital image processing
Computer Vision Graphics and Image Processing · 1989 · 4.7K citations
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu, Weijie Su, Lewei Lu et al. · arXiv (Cornell University) · 2020 · 1.9K citations · Full text
Image processing, analysis and machine vision
Tristan Dijkstra · Neurocomputing · 1994 · 1.8K citations
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Chinese Academy of Sciences
Beijing, China
25 h-index
174 publications
11.8K citations
Wuhan University
Wuhan, China
22 h-index
91 publications
4.3K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
22 h-index
56 publications
13.5K citations
University of Chinese Academy of Sciences
Beijing, China
21 h-index
64 publications
3.5K citations

University of Electronic Science and Technology of China
Chengdu, China
20 h-index
76 publications
5.2K citations

Shanghai Jiao Tong University
Shanghai, China
20 h-index
89 publications
4K citations

Harbin Institute of Technology
Harbin, China
18 h-index
56 publications
2.6K citations

Xidian University
Xi'an, China
18 h-index
68 publications
3.5K citations
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95 publications · 4.4K citations
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60 publications · 5.7K citations
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TPAMI · 45 publications · 10.6K citations
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46 publications · 4.9K citations
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43 publications · 1.8K citations
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