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://pdfs.semanticscholar.org/6533/654973054b742e725fd433265700c07b48a2.pdf>.

Version: 1.0.1
Depends: R (≥ 3.2)
Imports: Rcpp (≥ 0.12.10), R6, OpenImageR
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.1), ClusterR, OpenImageR
Suggests: testthat, covr, knitr, rmarkdown
Published: 2019-05-29
Author: Lampros Mouselimis
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
Materials: README NEWS
CRAN checks: SuperpixelImageSegmentation results

Downloads:

Reference manual: SuperpixelImageSegmentation.pdf
Package source: SuperpixelImageSegmentation_1.0.1.tar.gz
Windows binaries: r-devel: SuperpixelImageSegmentation_1.0.1.zip, r-release: SuperpixelImageSegmentation_1.0.1.zip, r-oldrel: SuperpixelImageSegmentation_1.0.1.zip
OS X binaries: r-release: SuperpixelImageSegmentation_1.0.1.tgz, r-oldrel: SuperpixelImageSegmentation_1.0.1.tgz
Old sources: SuperpixelImageSegmentation archive

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