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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: |
1.0.5 |
| 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: |
2022-02-06 |
| DOI: |
10.32614/CRAN.package.SuperpixelImageSegmentation |
| Author: |
Lampros Mouselimis
 [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:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=SuperpixelImageSegmentation
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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