Statistical Image Features
Statistical Image Features is a type of image feature representation that characterizes visual patterns through quantitative measures derived from statistical distributions of pixel intensities or transformations thereof, distinguishing it from structural or semantic feature types by its reliance on aggregate numerical properties rather than spatial configurations or high-level meanings.
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63.9K
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2017–2026
409
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Image Texture Feature Extraction Using GLCM Approach
P. Mohanaiah, P. Sathyanarayana, L. GuruKumar · 2013 · 644 citations
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Chinese Academy of Sciences
Beijing, China
17 h-index
77 publications
5.1K citations
The University of Texas at Austin
Austin, United States
14 h-index
40 publications
26.9K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
26 publications
1.3K citations

Xidian University
Xi'an, China
12 h-index
44 publications
3.1K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
29 publications
805 citations
New Jersey Institute of Technology
Newark, United States
11 h-index
22 publications
1.9K citations
Wuhan University
Wuhan, China
10 h-index
40 publications
2.6K citations

University of Oulu
Oulu, Finland
9 h-index
16 publications
1.5K citations
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29 publications · 6.2K citations
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39 publications · 1.2K citations
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20 publications · 608 citations
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