Package: GLCMTextures 0.6.3

GLCMTextures: GLCM Textures of Raster Layers

Calculates grey level co-occurrence matrix (GLCM) based texture measures (Hall-Beyer (2017) <https://prism.ucalgary.ca/bitstream/handle/1880/51900/texture%20tutorial%20v%203_0%20180206.pdf>; Haralick et al. (1973) <doi:10.1109/TSMC.1973.4309314>) of raster layers using a sliding rectangular window. It also includes functions to quantize a raster into grey levels as well as tabulate a glcm and calculate glcm texture metrics for a matrix.

Authors:Alexander Ilich [aut, cre]

GLCMTextures_0.6.3.tar.gz
GLCMTextures_0.6.3.zip(r-4.7)GLCMTextures_0.6.3.zip(r-4.6)GLCMTextures_0.6.3.zip(r-4.5)
GLCMTextures_0.6.3.tgz(r-4.6-x86_64)GLCMTextures_0.6.3.tgz(r-4.6-arm64)GLCMTextures_0.6.3.tgz(r-4.5-x86_64)GLCMTextures_0.6.3.tgz(r-4.5-arm64)
GLCMTextures_0.6.3.tar.gz(r-4.7-arm64)GLCMTextures_0.6.3.tar.gz(r-4.7-x86_64)GLCMTextures_0.6.3.tar.gz(r-4.6-arm64)GLCMTextures_0.6.3.tar.gz(r-4.6-x86_64)
GLCMTextures_0.6.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GLCMTextures/json (API)

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

Bug tracker:https://github.com/ailich/glcmtextures/issues

Pkgdown/docs site:https://ailich.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

6.15 score 13 stars 2 packages 36 scripts 448 downloads 4 exports 6 dependencies

Last updated from:3474c60449. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK245
linux-devel-x86_64OK245
source / vignettesOK256
linux-release-arm64OK234
linux-release-x86_64OK228
macos-release-arm64OK204
macos-release-x86_64OK267
macos-oldrel-arm64OK170
macos-oldrel-x86_64OK356
windows-develOK235
windows-releaseOK229
windows-oldrelOK210
wasm-releaseOK128

Exports:glcm_metricsglcm_texturesmake_glcmquantize_raster

Dependencies:latticerasterRcppRcppArmadillospterra

README

Rendered fromREADME.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2023-04-25
Started: 2023-04-25