Package: fastGLCM 1.0.2

Lampros Mouselimis

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>.

Authors:Lampros Mouselimis [aut, cre], Takahiro Toizumi [cph]

fastGLCM_1.0.2.tar.gz
fastGLCM_1.0.2.tar.gz(r-4.5-noble)fastGLCM_1.0.2.tar.gz(r-4.4-noble)
fastGLCM_1.0.2.tgz(r-4.4-emscripten)fastGLCM_1.0.2.tgz(r-4.3-emscripten)
fastGLCM.pdf |fastGLCM.html✨
fastGLCM/json (API)
NEWS

# Install 'fastGLCM' in R:
install.packages('fastGLCM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mlampros/fastglcm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

openblascppopenmp

2.70 score 2 scripts 182 downloads 3 exports 35 dependencies

Last updated 2 years agofrom:ab6c0bc646. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-linux-x86_64NOTEDec 17 2024

Exports:fastglcmfastGLCM_Rcppplot_multi_images

Dependencies:base64encbslibcachemclicommonmarkcrayondigestfastmapfontawesomefsgluehtmltoolshttpuvjpegjquerylibjsonlitelaterlifecyclemagrittrmemoisemimeOpenImageRpngpromisesR6rappdirsRcppRcppArmadillorlangsassshinysourcetoolstiffwithrxtable

Functionality of the fastGLCM R package

Rendered fromfastGLCM_Functionality.Rmdusingknitr::rmarkdownon Dec 17 2024.

Last update: 2022-08-15
Started: 2022-08-15