Package: OpenImageR
Type: Package
Title: An Image Processing Toolkit
Version: 1.3.0
Date: 2023-07-08
Authors@R: c( person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0002-8024-1546")), person("Sight", "Machine", role = "cph", comment = "findHOGFeatures function of the SimpleCV computer vision platform"), person("Johannes", "Buchner", role = "cph", comment = "average_hash, dhash and phash functions of the ImageHash python library"), person("Mohammad", "Haghighat", email = "haghighat@ieee.org", role = "cph", comment = "Gabor Feature Extraction"), person("Radhakrishna", "Achanta", email = "Radhakrishna.Achanta@epfl.ch", role = "cph", comment = "Author of the C++ code of the SLIC and SLICO algorithms (for commercial use please contact the author)"), person("Oleh", "Onyshchak", role = "cph", comment = "Author of the Python code of the WarpAffine function") )
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
BugReports: https://github.com/mlampros/OpenImageR/issues
URL: https://github.com/mlampros/OpenImageR
Description: Incorporates functions for image preprocessing, filtering
        and image recognition. The package takes advantage of
        'RcppArmadillo' to speed up computationally intensive
        functions. The histogram of oriented gradients descriptor is a
        modification of the 'findHOGFeatures' function of the
        'SimpleCV' computer vision platform, the average_hash(),
        dhash() and phash() functions are based on the 'ImageHash'
        python library. The Gabor Feature Extraction functions are
        based on 'Matlab' code of the paper, "CloudID: Trustworthy
        cloud-based and cross-enterprise biometric identification" by
        M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with
        Applications, vol. 42, no. 21, pp. 7905-7916, 2015,
        <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO'
        superpixel algorithms were explained in detail in (i) "SLIC
        Superpixels Compared to State-of-the-art Superpixel Methods",
        Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi,
        Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on Pattern
        Analysis and Machine Intelligence, vol. 34, num. 11, p.
        2274-2282, May 2012, <doi:10.1109/TPAMI.2012.120> and (ii)
        "SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin
        Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, EPFL
        Technical Report no. 149300, June 2010.
License: GPL-3
Encoding: UTF-8
Copyright: inst/COPYRIGHTS
SystemRequirements: 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), libjpeg-dev:
        apt-get install -y libjpeg-dev (deb), libpng-dev: apt-get
        install -y libpng-dev (deb), libfftw3-dev: apt-get install -y
        libfftw3-dev (deb), libtiff5-dev: apt-get install -y
        libtiff5-dev (deb)
Depends: R(>= 3.2.3)
Imports: Rcpp (>= 0.12.17), graphics, grDevices, grid, shiny, jpeg,
        png, tiff, R6, lifecycle, tools
LinkingTo: Rcpp, RcppArmadillo (>= 0.8.0)
Suggests: testthat, knitr, rmarkdown, covr
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Config/pak/sysreqs: cmake libfftw3-dev make libjpeg-dev libpng-dev
        libtiff-dev libuv1-dev zlib1g-dev
Repository: https://mlampros.r-universe.dev
Date/Publication: 2023-07-08 07:38:03 UTC
RemoteUrl: https://github.com/mlampros/openimager
RemoteRef: HEAD
RemoteSha: 59b3c72be79fcb38e8ce5cdd4678194fe8452ad6
NeedsCompilation: yes
Packaged: 2026-06-24 02:39:20 UTC; root
Author: Lampros Mouselimis [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8024-1546>),
  Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer
    vision platform),
  Johannes Buchner [cph] (average_hash, dhash and phash functions of the
    ImageHash python library),
  Mohammad Haghighat [cph] (Gabor Feature Extraction),
  Radhakrishna Achanta [cph] (Author of the C++ code of the SLIC and
    SLICO algorithms (for commercial use please contact the author)),
  Oleh Onyshchak [cph] (Author of the Python code of the WarpAffine
    function)