Wavelet-Based Texture Analysis is a texture analysis method that uses wavelet transforms to decompose an image into spatial-frequency components, enabling multiscale feature extraction to characterize texture patterns with localized frequency and spatial resolution.
375
Publications
23K
Citations
1K
Authors
455
Institutions
Publications per year
2017–2026
53
Parents
Publications
375
1–5 of 375
Authors
1K
- MP
8
h-index
- AM
5
h-index
- DS
5
h-index
- SP
4
h-index
- HMHenning Müller
HES-SO University of Applied Sciences and Arts Western Switzerland, Switzerland
4 publications · 166 citations
4
h-index
1–5 of 1K
Institutions
455
Centre National de la Recherche Scientifique
Paris, France
10 h-index
26 publications
632 citations
University of Belgrade
Belgrade, Serbia
8 h-index
23 publications
979 citations
Anna University, Chennai
Chennai, India
6 h-index
9 publications
294 citations
University of Tehran
Tehran, Iran
5 h-index
7 publications
367 citations
University of Bristol
Bristol, United Kingdom
5 h-index
13 publications
263 citations
University of Warwick
Coventry, United Kingdom
5 h-index
7 publications
328 citations
Fırat University
Elâzığ, Türkiye
5 h-index
9 publications
583 citations
Deakin University
Burwood, Australia
5 h-index
11 publications
375 citations
1–8 of 455
Venues
- Pattern Recognition Letters
13 publications · 1.4K citations
11
h-index
- Pattern Recognition
8 publications · 644 citations
8
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- IEEE Transactions on Image Processing
7 publications · 2.2K citations
7
h-index
- IEEE Transactions on Geoscience and Remote Sensing
5 publications · 516 citations
5
h-index
- International Journal of Computer Applications
5 publications · 95 citations
5
h-index
1–5