OpenImageR

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / OpenImageR

OpenImageR

v1.3.0

OpenImageR

Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes

Package page Reference Source DOI README NEWS

DOI

10.32614/CRAN.package.OpenImageR

Reverse imports

278

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Reverse imports

278

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

1.3.0

License

GPL-3

Lifecycle

active

Needs compilation

yes

Reverse imports

278

Last observed

2026-05-30

CRAN: cran.r-project.org/package=OpenImageR

Build fields

LinkingTo

RcppRcppArmadillo (>= 0.8.0)

수집 소스별 패키지 정보

1개 소스

CRAN

1.3.0

2026-05-30

License

GPL-3

Depends

R(>= 3.2.3)

Imports

Rcpp (>= 0.12.17), graphics, grDevices, grid, shiny, jpeg, png, tiff, R6, lifecycle, tools

Suggests

testthat, knitr, rmarkdown, covr

LinkingTo

Rcpp, RcppArmadillo (>= 0.8.0)

Needs compilation

yes

Reverse imports

278

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 17개

Package	Type	Spec
graphics CRAN · 1.3.0 · 2026-05-30	Imports	graphics
grDevices CRAN · 1.3.0 · 2026-05-30	Imports	grDevices
grid CRAN · 1.3.0 · 2026-05-30	Imports	grid
jpeg CRAN · 1.3.0 · 2026-05-30	Imports	jpeg
lifecycle CRAN · 1.3.0 · 2026-05-30	Imports	lifecycle
png CRAN · 1.3.0 · 2026-05-30	Imports	png
R6 CRAN · 1.3.0 · 2026-05-30	Imports	R6
Rcpp CRAN · 1.3.0 · 2026-05-30	Imports	Rcpp (>= 0.12.17)
shiny CRAN · 1.3.0 · 2026-05-30	Imports	shiny
tiff CRAN · 1.3.0 · 2026-05-30	Imports	tiff
tools CRAN · 1.3.0 · 2026-05-30	Imports	tools
Rcpp CRAN · 1.3.0 · 2026-05-30	LinkingTo	Rcpp
RcppArmadillo CRAN · 1.3.0 · 2026-05-30	LinkingTo	RcppArmadillo (>= 0.8.0)
covr CRAN · 1.3.0 · 2026-05-30	Suggests	covr
knitr CRAN · 1.3.0 · 2026-05-30	Suggests	knitr
rmarkdown CRAN · 1.3.0 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 1.3.0 · 2026-05-30	Suggests	testthat
검색 결과가 없습니다.

1 / 4

이 패키지를 쓰는 패키지

5개 표시전체 13개

Package	Type	Spec
CNVScope 3.7.2 CRAN · 2026-05-30	Imports	OpenImageR
fastGLCM 1.0.3 CRAN · 2026-05-30	Imports	OpenImageR
greenR 0.0.1.7 CRAN · 2026-05-30	Imports	OpenImageR
imagefluency 1.0.0 CRAN · 2026-05-30	Imports	OpenImageR
schemr 0.3.1 CRAN · 2026-05-30	Imports	OpenImageR
streetscape 1.0.5 CRAN · 2026-05-30	Imports	OpenImageR
SuperpixelImageSegmentation 1.0.6 CRAN · 2026-05-30	Imports	OpenImageR
fastGLCM 1.0.3 CRAN · 2026-05-30	LinkingTo	OpenImageR
SuperpixelImageSegmentation 1.0.6 CRAN · 2026-05-30	LinkingTo	OpenImageR
ClusterR 1.3.6 CRAN · 2026-05-30	Suggests	OpenImageR
couplr 1.4.1 CRAN · 2026-05-30	Suggests	OpenImageR
regtools 1.7.0 CRAN · 2026-05-30	Suggests	OpenImageR
VMDecomp 1.0.2 CRAN · 2026-05-30	Suggests	OpenImageR
검색 결과가 없습니다.

1 / 3

Reverse dependency summary

3 types

Type	Packages
Imports	7
LinkingTo	2
Suggests	4

패키지 페이지

Reverse imports

Reverse suggests

All links

Repository: CRAN
Version: 1.3.0
Collected: 2026-05-29 20:43:02
Package page: https://cran.r-project.org/web/packages/OpenImageR/index.html
DOI: 10.32614/CRAN.package.OpenImageR
Citation: https://cran.r-project.org/web/packages/OpenImageR/citation.html
CRAN checks: https://cran.r-project.org/web/checks/check_results_OpenImageR.html
README: https://cran.r-project.org/web/packages/OpenImageR/readme/README.html
NEWS: https://cran.r-project.org/web/packages/OpenImageR/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/OpenImageR/refman/OpenImageR.html
Reference PDF: https://cran.r-project.org/web/packages/OpenImageR/OpenImageR.pdf
Source package: https://cran.r-project.org/src/contrib/OpenImageR_1.3.0.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/OpenImageR

Page fields

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)), Oleh Onyshchak [cph] (Author of the Python code of the WarpAffine function)
BugReports: https://github.com/mlampros/OpenImageR/issues
CRAN Checks: OpenImageR results
Citation: OpenImageR citation info
Copyright: inst/COPYRIGHTS OpenImageR copyright details
DOI: 10.32614/CRAN.package.OpenImageR
License: GPL-3
LinkingTo: Rcpp , RcppArmadillo (≥ 0.8.0)
Maintainer: Lampros Mouselimis <mouselimislampros at gmail.com>
Materials: README , NEWS
NeedsCompilation: yes
Old Sources: OpenImageR archive
Package Source: OpenImageR_1.3.0.tar.gz
Published: 2023-07-08
Reference Manual: OpenImageR.html , OpenImageR.pdf
Reverse Imports: CNVScope , fastGLCM , greenR , imagefluency , schemr , streetscape , SuperpixelImageSegmentation
Reverse Linking To: fastGLCM , SuperpixelImageSegmentation
Reverse Suggests: ClusterR , couplr , regtools , VMDecomp
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)
URL: https://github.com/mlampros/OpenImageR
Version: 1.3.0
Vignettes: Gabor Feature extraction ( source ) Image segmentation based on Superpixels and Clustering ( source ) Functionality of the OpenImageR package ( source , R code ) Warp Affine using R ( source , R code )
Windows Binaries: r-devel: OpenImageR_1.3.0.zip , r-release: OpenImageR_1.3.0.zip , r-oldrel: OpenImageR_1.3.0.zip
MacOS Binaries: r-release (arm64): OpenImageR_1.3.0.tgz , r-oldrel (arm64): OpenImageR_1.3.0.tgz , r-release (x86_64): OpenImageR_1.3.0.tgz , r-oldrel (x86_64): OpenImageR_1.3.0.tgz

Version

1.3.0

LinkingTo

Rcpp , RcppArmadillo (≥ 0.8.0)

Rcpp RcppArmadillo

Published

2023-07-08

DOI

10.32614/CRAN.package.OpenImageR

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)), Oleh Onyshchak [cph] (Author of the Python code of the WarpAffine function)

https://orcid.org/0000-0002-8024-1546

Maintainer

Lampros Mouselimis <mouselimislampros at gmail.com>

BugReports

https://github.com/mlampros/OpenImageR/issues

License

GPL-3

inst/COPYRIGHTS OpenImageR copyright details

OpenImageR copyright details

URL

https://github.com/mlampros/OpenImageR

NeedsCompilation

yes

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)

Citation

OpenImageR citation info

Materials

README , NEWS

README NEWS

CRAN Checks

OpenImageR results

Reference Manual

OpenImageR.html , OpenImageR.pdf

OpenImageR.html OpenImageR.pdf

Vignettes

Gabor Feature extraction ( source ) Image segmentation based on Superpixels and Clustering ( source ) Functionality of the OpenImageR package ( source , R code ) Warp Affine using R ( source , R code )

Gabor Feature extraction source Image segmentation based on Superpixels and Clustering source Functionality of the OpenImageR package source R code Warp Affine using R source R code

Package Source

OpenImageR_1.3.0.tar.gz

Windows Binaries

r-devel: OpenImageR_1.3.0.zip , r-release: OpenImageR_1.3.0.zip , r-oldrel: OpenImageR_1.3.0.zip

OpenImageR_1.3.0.zip OpenImageR_1.3.0.zip OpenImageR_1.3.0.zip

MacOS Binaries

r-release (arm64): OpenImageR_1.3.0.tgz , r-oldrel (arm64): OpenImageR_1.3.0.tgz , r-release (x86_64): OpenImageR_1.3.0.tgz , r-oldrel (x86_64): OpenImageR_1.3.0.tgz

OpenImageR_1.3.0.tgz OpenImageR_1.3.0.tgz OpenImageR_1.3.0.tgz OpenImageR_1.3.0.tgz

Old Sources

OpenImageR archive

Reverse Imports

CNVScope , fastGLCM , greenR , imagefluency , schemr , streetscape , SuperpixelImageSegmentation

CNVScope fastGLCM greenR imagefluency schemr streetscape SuperpixelImageSegmentation

Reverse Linking To

fastGLCM , SuperpixelImageSegmentation

fastGLCM SuperpixelImageSegmentation

Reverse Suggests

ClusterR , couplr , regtools , VMDecomp

ClusterR couplr regtools VMDecomp

Page sections 4

Documentation

Heading

Documentation

Links

[{"label":"OpenImageR.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/refman/OpenImageR.html"},{"label":"OpenImageR.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/OpenImageR.pdf"},{"label":"Gabor Feature extraction","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/Gabor_Feature_Extraction.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/Gabor_Feature_Extraction.Rmd"},{"label":"Image segmentation based on Superpixels and Clustering","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/Image_segmentation_superpixels_clustering.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/Image_segmentation_superpixels_clustering.Rmd"},{"label":"Functionality of the OpenImageR package","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/The_OpenImageR_package.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/The_OpenImageR_package.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/The_OpenImageR_package.R"},{"label":"Warp Affine using R","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/Warp_Affine.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/Warp_Affine.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/OpenImageR/vignettes/Warp_Affine.R"}]

Text

Reference manual: OpenImageR.html , OpenImageR.pdf Vignettes: Gabor Feature extraction ( source ) Image segmentation based on Superpixels and Clustering ( source ) Functionality of the OpenImageR package ( source , R code ) Warp Affine using R ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"OpenImageR_1.3.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/OpenImageR_1.3.0.tar.gz"},{"label":"OpenImageR_1.3.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/OpenImageR_1.3.0.zip"},{"label":"OpenImageR_1.3.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/OpenImageR_1.3.0.zip"},{"label":"OpenImageR_1.3.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/OpenImageR_1.3.0.zip"},{"label":"OpenImageR_1.3.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/OpenImageR_1.3.0.tgz"},{"label":"OpenImageR_1.3.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/OpenImageR_1.3.0.tgz"},{"label":"OpenImageR_1.3.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/OpenImageR_1.3.0.tgz"},{"label":"OpenImageR_1.3.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/OpenImageR_1.3.0.tgz"},{"label":"OpenImageR archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/OpenImageR"}]

Text

Package source: OpenImageR_1.3.0.tar.gz Windows binaries: r-devel: OpenImageR_1.3.0.zip , r-release: OpenImageR_1.3.0.zip , r-oldrel: OpenImageR_1.3.0.zip macOS binaries: r-release (arm64): OpenImageR_1.3.0.tgz , r-oldrel (arm64): OpenImageR_1.3.0.tgz , r-release (x86_64): OpenImageR_1.3.0.tgz , r-oldrel (x86_64): OpenImageR_1.3.0.tgz Old sources: OpenImageR archive

Reverse dependencies

Heading

Reverse dependencies

Links

[{"label":"CNVScope","section":"","type":"","url":"https://cran.r-project.org/web/packages/CNVScope/index.html"},{"label":"fastGLCM","section":"","type":"","url":"https://cran.r-project.org/web/packages/fastGLCM/index.html"},{"label":"greenR","section":"","type":"","url":"https://cran.r-project.org/web/packages/greenR/index.html"},{"label":"imagefluency","section":"","type":"","url":"https://cran.r-project.org/web/packages/imagefluency/index.html"},{"label":"schemr","section":"","type":"","url":"https://cran.r-project.org/web/packages/schemr/index.html"},{"label":"streetscape","section":"","type":"","url":"https://cran.r-project.org/web/packages/streetscape/index.html"},{"label":"SuperpixelImageSegmentation","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperpixelImageSegmentation/index.html"},{"label":"fastGLCM","section":"","type":"","url":"https://cran.r-project.org/web/packages/fastGLCM/index.html"},{"label":"SuperpixelImageSegmentation","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperpixelImageSegmentation/index.html"},{"label":"ClusterR","section":"","type":"","url":"https://cran.r-project.org/web/packages/ClusterR/index.html"},{"label":"couplr","section":"","type":"","url":"https://cran.r-project.org/web/packages/couplr/index.html"},{"label":"regtools","section":"","type":"","url":"https://cran.r-project.org/web/packages/regtools/index.html"},{"label":"VMDecomp","section":"","type":"","url":"https://cran.r-project.org/web/packages/VMDecomp/index.html"}]

Text

Reverse imports: CNVScope , fastGLCM , greenR , imagefluency , schemr , streetscape , SuperpixelImageSegmentation Reverse linking to: fastGLCM , SuperpixelImageSegmentation Reverse suggests: ClusterR , couplr , regtools , VMDecomp

Linking

Heading

Linking

Links

[{"label":"https://CRAN.R-project.org/package=OpenImageR","section":"","type":"","url":"https://CRAN.R-project.org/package=OpenImageR"}]

Text

Please use the canonical form https://CRAN.R-project.org/package=OpenImageR to link to this page.

Materials 2

README NEWS

Documentation 12

OpenImageR.html OpenImageR.pdf Gabor Feature extraction source Image segmentation based on Superpixels and Clustering source Functionality of the OpenImageR package source R code Warp Affine using R source R code

Vignettes 10