Local Binary Patterns
Local Binary Patterns is a texture analysis method that encodes local image structures by comparing the intensity of each pixel to its neighboring pixels and representing the pattern as a binary number based on the relative intensity differences.
2.8K
Publications
167.6K
Citations
7.4K
Authors
2K
Institutions
Publications per year
2017–2026
1.2K
2.8K
1–5 of 2.8K
7.4K
23
h-index
22
h-index
19
h-index
17
h-index
12
h-index
1–5 of 7.4K
2K

University of Oulu
Oulu, Finland
46 h-index
174 publications
93.8K citations

Chinese Academy of Sciences
Beijing, China
28 h-index
138 publications
12.5K citations

Centre National de la Recherche Scientifique
Paris, France
22 h-index
87 publications
6.9K citations
Nanyang Technological University
Singapore, Singapore
21 h-index
53 publications
4.2K citations

King Saud University
Riyadh, Saudi Arabia
20 h-index
80 publications
5.9K citations

Beihang University
Beijing, China
20 h-index
45 publications
4.1K citations
Shandong Institute of Automation
Jinan, China
19 h-index
72 publications
6.6K citations
COMSATS University Islamabad
Islamabad, Pakistan
18 h-index
36 publications
2.1K citations
1–8 of 2K
49 publications · 10.4K citations
40
h-index
71 publications · 3.3K citations
35
h-index
43 publications · 2.5K citations
25
h-index
25 publications · 2.7K citations
23
h-index
40 publications · 1.2K citations
21
h-index
1–5