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

Mouselimis L (2022). OpenImageR: An Image Processing Toolkit. R package version 1.2.5, https://CRAN.R-project.org/package=OpenImageR.

Machine S (2012). SimpleCV: The Open Source Framework for Machine Vision. findHOGFeatures function of the SimpleCV computer vision platform, https://github.com/sightmachine/SimpleCV.

Buchner J (2013). imagehash: A Python Perceptual Image Hashing Module. average_hash, dhash and phash functions of the ImageHash python library, https://github.com/JohannesBuchner/imagehash.

Haghighat M, Zonouz S, Abdel-Mottaleb M (2015). “CloudID: Trustworthy cloud-based and cross-enterprise biometric identification.” Expert Systems with Applications, 42, 7905–7916. doi:10.1016/j.eswa.2015.06.025.

Haghighat M (2015). gabor: Gabor Feature Extraction. https://github.com/mhaghighat/gabor.

Achanta R, Shaji A, Smith K, Lucchi A, Fua P, Suesstrunk S (2012). “SLIC Superpixels Compared to State-of-the-art Superpixel Methods.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 2274–2282. doi:10.1109/TPAMI.2012.120.

Achanta R, Shaji A, Smith K, Lucchi A, Fua P, Suesstrunk S (2010). “SLIC Superpixels.” Technical Report 149300, EPFL Technical Report.

Onyshchak O (2019). ImageTransformations: Implementation of OpenCV methods for affine and perspective transformation. https://github.com/OlehOnyshchak.

Corresponding BibTeX entries:

  @Manual{,
    title = {{OpenImageR}: An Image Processing Toolkit},
    author = {Lampros Mouselimis},
    year = {2022},
    note = {R package version 1.2.5},
    url = {https://CRAN.R-project.org/package=OpenImageR},
  }

  @Manual{,
    title = {{SimpleCV}: The Open Source Framework for Machine Vision},
    author = {Sight Machine},
    year = {2012},
    note = {findHOGFeatures function of the SimpleCV computer vision
      platform},
    url = {https://github.com/sightmachine/SimpleCV},
  }

  @Manual{,
    title = {{imagehash}: A Python Perceptual Image Hashing Module},
    author = {Johannes Buchner},
    year = {2013},
    note = {average_hash, dhash and phash functions of the ImageHash
      python library},
    url = {https://github.com/JohannesBuchner/imagehash},
  }

  @Article{,
    title = {CloudID: Trustworthy cloud-based and cross-enterprise
      biometric identification},
    author = {M. Haghighat and S. Zonouz and M. Abdel-Mottaleb},
    journal = {Expert Systems with Applications},
    year = {2015},
    volume = {42},
    pages = {7905--7916},
    doi = {10.1016/j.eswa.2015.06.025},
  }

  @Manual{,
    title = {{gabor}: Gabor Feature Extraction},
    author = {Mohammad Haghighat},
    year = {2015},
    url = {https://github.com/mhaghighat/gabor},
  }

  @Article{,
    title = {SLIC Superpixels Compared to State-of-the-art Superpixel
      Methods},
    author = {Radhakrishna Achanta and Appu Shaji and Kevin Smith and
      Aurelien Lucchi and Pascal Fua and Sabine Suesstrunk},
    journal = {IEEE Transactions on Pattern Analysis and Machine
      Intelligence},
    year = {2012},
    volume = {34},
    pages = {2274--2282},
    doi = {10.1109/TPAMI.2012.120},
  }

  @TechReport{,
    title = {SLIC Superpixels},
    author = {Radhakrishna Achanta and Appu Shaji and Kevin Smith and
      Aurelien Lucchi and Pascal Fua and Sabine Suesstrunk},
    institution = {EPFL Technical Report},
    number = {149300},
    year = {2010},
  }

  @Manual{,
    title = {{ImageTransformations}: Implementation of OpenCV methods
      for affine and perspective transformation},
    author = {Oleh Onyshchak},
    year = {2019},
    url = {https://github.com/OlehOnyshchak},
  }