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 gmail.com> |
BugReports: | https://github.com/mlampros/OpenImageR/issues |
License: | GPL-3 |
Copyright: | inst/COPYRIGHTS OpenImageR copyright details |
URL: | https://github.com/mlampros/OpenImageR |
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: OpenImageR_1.1.1.zip, r-release: OpenImageR_1.1.1.zip, r-oldrel: OpenImageR_1.1.1.zip |
OS X binaries: | r-release: OpenImageR_1.1.1.tgz, r-oldrel: OpenImageR_1.1.1.tgz |
Old sources: | OpenImageR archive |
Reverse imports: | ClusterR |
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