{"id":23415316,"url":"https://github.com/mlampros/superpixelimagesegmentation","last_synced_at":"2026-03-08T21:33:34.300Z","repository":{"id":49308923,"uuid":"156761915","full_name":"mlampros/SuperpixelImageSegmentation","owner":"mlampros","description":"Image Segmentation using Superpixels, Affinity Propagation and Kmeans 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SuperpixelImageSegmentation\n\u003cbr\u003e\n\nThe R / Rcpp code of the *SuperpixelImageSegmentation* package 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).\n\nI wrote a [blog post](http://mlampros.github.io/2018/11/09/Image_Segmentation_Superpixels_Clustering/) explaining how to take advantage of the R / Rcpp code of the *SuperpixelImageSegmentation* package.\n\n\u003cbr\u003e\n\nSystem / Software Requirements:\n\n* [OpenImageR ](https://github.com/mlampros/OpenImageR)\n* [ClusterR ](https://github.com/mlampros/ClusterR)\n* a C++ 11 compiler\n\u003cbr\u003e\u003cbr\u003e\n\n\nThe *SuperpixelImageSegmentation* package can be installed from CRAN using,\n\n\u003cbr\u003e\n\n\n```R\n\ninstall.packages(\"SuperpixelImageSegmentation\")\n \n\n```\n\u003cbr\u003e\n\n**or** download the latest version from Github using the *pak* package,\n\u003cbr\u003e\u003cbr\u003e\n\n```R\n\npak::pak('mlampros/SuperpixelImageSegmentation')\n\n\n```\n\u003cbr\u003e\n\n**or** by directly downloading the .zip file using the **Clone or download** button in the [repository page](https://github.com/mlampros/SuperpixelImageSegmentation), extracting it locally (renaming it to *SuperpixelImageSegmentation* if necessary) and running,\n\n\u003cbr\u003e\n\n```R\n\n#--------\n# on Unix\n#--------\n\nsetwd('/your_folder/SuperpixelImageSegmentation/')\nRcpp::compileAttributes(verbose = TRUE)\nsetwd('/your_folder/')\nsystem(\"R CMD build SuperpixelImageSegmentation\")\nsystem(\"R CMD INSTALL SuperpixelImageSegmentation_1.0.0.tar.gz\")\n\n\n#-----------\n# on Windows\n#-----------\n\nsetwd('C:/your_folder/SuperpixelImageSegmentation/')\nRcpp::compileAttributes(verbose = TRUE)\nsetwd('C:/your_folder/')\nsystem(\"R CMD build SuperpixelImageSegmentation\")\nsystem(\"R CMD INSTALL SuperpixelImageSegmentation_1.0.0.tar.gz\")\n\n```\n\n\n\u003cbr\u003e\n\nUse the following link to report bugs/issues,\n\u003cbr\u003e\u003cbr\u003e\n\n[https://github.com/mlampros/SuperpixelImageSegmentation/issues](https://github.com/mlampros/SuperpixelImageSegmentation/issues)\n\n\u003cbr\u003e\n\n### **Citation:**\n\nIf you use the code of this repository in your paper or research please cite both **SuperpixelImageSegmentation** and the **original articles / software** `https://CRAN.R-project.org/package=SuperpixelImageSegmentation`:\n\n\u003cbr\u003e\n\n```R\n@Manual{,\n  title = {{SuperpixelImageSegmentation}: Image Segmentation using\n    Superpixels, Affinity Propagation and Kmeans Clustering},\n  author = {Lampros Mouselimis},\n  year = {2025},\n  note = {R package version 1.0.6},\n  url =\n    {https://CRAN.R-project.org/package=SuperpixelImageSegmentation},\n}\n```\n\n\u003cbr\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlampros%2Fsuperpixelimagesegmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmlampros%2Fsuperpixelimagesegmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlampros%2Fsuperpixelimagesegmentation/lists"}