Texture Feature Detection
Texture Feature Detection is a computational method within feature detection that identifies and extracts spatially repetitive patterns in visual data by analyzing local intensity variations to represent surface characteristics.
590
Publications
41.1K
Citations
2K
Authors
738
Institutions
Publications per year
2017–2026
209
Parents
590
Edge and Curve Detection for Visual Scene Analysis
A. Rosenfeld, Mark Thurston · IEEE Transactions on Computers · 1971 · 789 citations
1–5 of 590
2K
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HUN-REN Institute for Computer Science and Control, Hungary
3 publications · 134 citations
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3
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3
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3
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1–5 of 2K
738
Dalian University of Technology
Dalian, China
7 h-index
19 publications
364 citations
Wuhan University
Wuhan, China
7 h-index
20 publications
497 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
13 publications
303 citations

Sichuan University
Chengdu, China
7 h-index
24 publications
686 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
6 h-index
18 publications
554 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
7 publications
268 citations
Tianjin University
Tianjin, China
5 h-index
20 publications
441 citations
Tsinghua University
Beijing, China
5 h-index
11 publications
328 citations
1–8 of 738
13 publications · 416 citations
12
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11 publications · 608 citations
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11 publications · 214 citations
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9 publications · 294 citations
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7 publications · 212 citations
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