fastGLCM
'GLCM' Texture Features
Two 'Gray Level Co-occurrence Matrix' ('GLCM') implementations are included: The first is a fast 'GLCM' feature texture computation based on 'Python' 'Numpy' arrays ('Github' Repository, <https://github.com/tzm030329/GLCM>). The second is a fast 'GLCM' 'RcppArmadillo' implementation which is parallelized (using 'OpenMP') with the option to return all 'GLCM' features at once. For more information, see "Artifact-Free Thin Cloud Removal Using Gans" by Toizumi Takahiro, Zini Simone, Sagi Kazutoshi, Kaneko Eiji, Tsukada Masato, Schettini Raimondo (2019), IEEE International Conference on Image Processing (ICIP), pp. 3596-3600, <doi:10.1109/ICIP.2019.8803652>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling source/ R- | fastGLCM_1.0.3.tar.gz |
4.4 MiB |
1.0.3 |
latest source/ R- | fastGLCM_1.0.3.tar.gz |
4.4 MiB |
1.0.3 |
2026-04-23 source/ R- | fastGLCM_1.0.3.tar.gz |
4.4 MiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | fastGLCM_1.0.3.zip |
4.4 MiB |
Dependencies (latest)
Imports
- Rcpp (>= 1.0.8.3)
- R6
- rlang
- OpenImageR
- utils
LinkingTo
Suggests
- reticulate
- covr
- knitr
- rmarkdown
- testthat (>= 3.0.0)