OpenImageR: An Image Processing Toolkit

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 and 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>.

Version: 1.1.1
Depends: R (≥ 3.2.3)
Imports: Rcpp (≥ 0.12.17), shiny, jpeg, png, tiff, utils, R6
LinkingTo: Rcpp, RcppArmadillo (≥ 0.8.0)
Suggests: testthat, knitr, rmarkdown, grid, covr
Published: 2018-08-22
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)
Maintainer: Lampros Mouselimis <mouselimislampros at>
License: GPL-3
Copyright: inst/COPYRIGHTS
OpenImageR copyright details
NeedsCompilation: yes
SystemRequirements: The package requires a C++11 compiler.
Materials: README NEWS
CRAN checks: OpenImageR results


Reference manual: OpenImageR.pdf
Vignettes: Gabor Feature extraction
Functionality of the OpenImageR package
Package source: OpenImageR_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: OpenImageR_1.1.1.tgz, r-oldrel: OpenImageR_1.1.1.tgz
Old sources: OpenImageR archive

Reverse dependencies:

Reverse imports: ClusterR


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