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: | 1.0.0 |
| 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: | 2018-12-30 |
| Author: | Lampros Mouselimis |
| Maintainer: | Lampros Mouselimis <mouselimislampros at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | SuperpixelImageSegmentation results |
| Reference manual: | SuperpixelImageSegmentation.pdf |
| Package source: | SuperpixelImageSegmentation_1.0.0.tar.gz |
| Windows binaries: | r-devel: SuperpixelImageSegmentation_1.0.0.zip, r-release: SuperpixelImageSegmentation_1.0.0.zip, r-oldrel: SuperpixelImageSegmentation_1.0.0.zip |
| OS X binaries: | r-release: SuperpixelImageSegmentation_1.0.0.tgz, r-oldrel: SuperpixelImageSegmentation_1.0.0.tgz |
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