fastGLCM: 'GLCM' Texture Features (original) (raw)
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>.
| Version: | 1.0.3 |
|---|---|
| Depends: | R (≥ 3.2.3) |
| Imports: | Rcpp (≥ 1.0.8.3), R6, rlang, OpenImageR, utils |
| LinkingTo: | Rcpp, RcppArmadillo, OpenImageR |
| Suggests: | reticulate, covr, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-09-14 |
| DOI: | 10.32614/CRAN.package.fastGLCM |
| Author: | Lampros Mouselimis |
| Maintainer: | Lampros Mouselimis |
| BugReports: | https://github.com/mlampros/fastGLCM/issues |
| License: | GPL-3 |
| Copyright: | inst/COPYRIGHTS fastGLCM copyright details |
| URL: | https://github.com/mlampros/fastGLCM |
| NeedsCompilation: | yes |
| SystemRequirements: | apt-get-pip: apt-get install -y python3-pip (deb), python3-pip: python3 -m pip install -U pip (deb), numpy: pip3 install -U numpy (deb), cv2: pip3 install -U opencv-python (deb), matplotlib: pip3 install -U matplotlib (deb), skimage: pip3 install -U scikit-image (deb), libarmadillo: apt-get install -y libarmadillo-dev (deb), libblas: apt-get install -y libblas-dev (deb), liblapack: apt-get install -y liblapack-dev (deb), libarpack++2: apt-get install -y libarpack++2-dev (deb), gfortran: apt-get install -y gfortran (deb) |
| Citation: | fastGLCM citation info |
| Materials: | README, NEWS |
| CRAN checks: | fastGLCM results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=fastGLCMto link to this page.