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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.3 rolling source/ R- fastGLCM_1.0.3.tar.gz 4.4 MiB
1.0.3 latest source/ R- fastGLCM_1.0.3.tar.gz 4.4 MiB
1.0.3 2026-04-23 source/ R- fastGLCM_1.0.3.tar.gz 4.4 MiB
1.0.3 2026-04-09 windows/windows R-4.5 fastGLCM_1.0.3.zip 4.4 MiB

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