Package: OpenImageR
Type: Package
Title: An Image Processing Toolkit
Version: 1.1.7
Date: 2020-06-18
Depends: R(>= 3.2.3)
Imports: Rcpp (>= 0.12.17), graphics, grid, shiny, jpeg, png, tiff, R6
Authors@R: c( person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre")), 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)") )
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
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)
LinkingTo: Rcpp, RcppArmadillo (>= 0.8.0)
Suggests: testthat, knitr, rmarkdown, covr
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-06-18 17:54:09 UTC; lampros
Author: Lampros Mouselimis [aut, cre],
  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))
Repository: CRAN
Date/Publication: 2020-06-18 18:40:07 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 05:45:37 UTC; windows
Archs: i386, x64
