CRAN/E | fastGLCM

fastGLCM

'GLCM' Texture Features

Installation

About

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, ). 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.

Citation fastGLCM citation info
github.com/mlampros/fastGLCM
Copyright inst/COPYRIGHTS fastGLCM copyright details
System requirements 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)
Bug report File report

Key Metrics

Version 1.0.2
R ≥ 3.2.3
Published 2022-09-25 366 days ago
Needs compilation? yes
License GPL-3
CRAN checks fastGLCM results

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Maintainer

Maintainer

Lampros Mouselimis

mouselimislampros@gmail.com

Authors

Lampros Mouselimis

aut / cre

Takahiro Toizumi

cph

(Author of the fastGLCM Python code)

Material

README
NEWS
Reference manual
Package source

Vignettes

Functionality of the fastGLCM R package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fastGLCM archive

Depends

R ≥ 3.2.3

Imports

Rcpp ≥ 1.0.8.3
R6
rlang
OpenImageR
utils

Suggests

reticulate
covr
knitr
rmarkdown
testthat ≥ 3.0.0

LinkingTo

Rcpp
RcppArmadillo
OpenImageR