Content-Length: 14236 | pFad | http://cran.rstudio.com/web/packages/BH/../imt/../Rcpp/../fastGLCM/index.html

CRAN: Package fastGLCM

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>.

Version: 1.0.2
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: 2022-09-25
DOI: 10.32614/CRAN.package.fastGLCM
Author: Lampros Mouselimis ORCID iD [aut, cre], Takahiro Toizumi [cph] (Author of the fastGLCM Python code)
Maintainer: Lampros Mouselimis <mouselimislampros at gmail.com>
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:

Reference manual: fastGLCM.pdf
Vignettes: Functionality of the fastGLCM R package

Downloads:

Package source: fastGLCM_1.0.2.tar.gz
Windows binaries: r-devel: fastGLCM_1.0.2.zip, r-release: fastGLCM_1.0.2.zip, r-oldrel: fastGLCM_1.0.2.zip
macOS binaries: r-release (arm64): fastGLCM_1.0.2.tgz, r-oldrel (arm64): fastGLCM_1.0.2.tgz, r-release (x86_64): fastGLCM_1.0.2.tgz, r-oldrel (x86_64): fastGLCM_1.0.2.tgz
Old sources: fastGLCM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fastGLCM to link to this page.









ApplySandwichStrip

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier!      Saves Data!


--- a PPN by Garber Painting Akron. With Image Size Reduction included!

Fetched URL: http://cran.rstudio.com/web/packages/BH/../imt/../Rcpp/../fastGLCM/index.html

Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy