'GLCM' Texture Features R package fastGLCM version 1.0.3 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>. Software 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) Lampros Mouselimis <mouselimislampros@gmail.com> Comprehensive R Archive Network (CRAN) Lampros Mouselimis [aut, cre] (ORCID: <https://orcid.org/0000-0002-8024-1546>), Takahiro Toizumi [cph] (Author of the fastGLCM Python code) GPL-3 2025-09-14 application/tgz https://CRAN.R-project.org/package=fastGLCM doi:10.32614/CRAN.package.fastGLCM