SuperpixelImageSegmentation: Superpixel Image Segmentation

Image Segmentation using Superpixels, Affinity Propagation and Kmeans Clustering. The R code is based primarily on the article "Image Segmentation using SLIC Superpixels and Affinity Propagation Clustering, Bao Zhou, International Journal of Science and Research (IJSR), 2013" <https://www.ijsr.net/archive/v4i4/SUB152869.pdf>.

Version: 1.0.4
Depends: R (≥ 3.2)
Imports: Rcpp (≥ 0.12.10), R6, OpenImageR, grDevices, lattice
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.1), ClusterR, OpenImageR
Suggests: testthat, covr, knitr, rmarkdown
Published: 2021-05-04
Author: Lampros Mouselimis ORCID iD [aut, cre]
Maintainer: Lampros Mouselimis <mouselimislampros at gmail.com>
BugReports: https://github.com/mlampros/SuperpixelImageSegmentation/issues
License: GPL-3
URL: https://github.com/mlampros/SuperpixelImageSegmentation
NeedsCompilation: yes
Citation: SuperpixelImageSegmentation citation info
Materials: README NEWS
CRAN checks: SuperpixelImageSegmentation results

Documentation:

Reference manual: SuperpixelImageSegmentation.pdf

Downloads:

Package source: SuperpixelImageSegmentation_1.0.4.tar.gz
Windows binaries: r-devel: SuperpixelImageSegmentation_1.0.4.zip, r-devel-UCRT: SuperpixelImageSegmentation_1.0.4.zip, r-release: SuperpixelImageSegmentation_1.0.4.zip, r-oldrel: SuperpixelImageSegmentation_1.0.4.zip
macOS binaries: r-release (arm64): SuperpixelImageSegmentation_1.0.4.tgz, r-release (x86_64): SuperpixelImageSegmentation_1.0.4.tgz, r-oldrel: SuperpixelImageSegmentation_1.0.4.tgz
Old sources: SuperpixelImageSegmentation archive

Linking:

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