A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from http://cran.rstudio.com/web/packages/uwot/../Rcpp/../RcppFastAD/../Rcpp/../fastGLCM/citation.html below:

fastGLCM citation info

Please cite both the package and the original articles / software in your publications:

Mouselimis L (2022). fastGLCM: Fast Gray Level Co-occurrence Matrix computation (GLCM) using R. R package version 1.0.2, https://CRAN.R-project.org/package=fastGLCM.

Toizumi T (2021). fastGLCM. https://github.com/tzm030329/GLCM.

Toizumi T, Zini S, Sagi K, Kaneko E, Tsukada M, Schettini R (2019). “Artifact-Free Thin Cloud Removal Using Gans.” In IEEE International Conference on Image Processing (ICIP), 3596–3600. doi:10.1109/ICIP.2019.8803652.

Corresponding BibTeX entries:

  @Manual{,
    title = {{fastGLCM}: Fast Gray Level Co-occurrence Matrix
      computation (GLCM) using R},
    author = {Lampros Mouselimis},
    year = {2022},
    note = {R package version 1.0.2},
    url = {https://CRAN.R-project.org/package=fastGLCM},
  }
  @Manual{,
    title = {fastGLCM},
    author = {Takahiro Toizumi},
    year = {2021},
    url = {https://github.com/tzm030329/GLCM},
  }
  @InProceedings{,
    author = {Takahiro Toizumi and Simone Zini and Kazutoshi Sagi and
      Eiji Kaneko and Masato Tsukada and Raimondo Schettini},
    title = {Artifact-Free Thin Cloud Removal Using Gans},
    booktitle = {IEEE International Conference on Image Processing
      (ICIP)},
    year = {2019},
    pages = {3596--3600},
    doi = {10.1109/ICIP.2019.8803652},
  }

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4