Color-Based Image Segmentation R package recolorize version 0.2.0 Automatic, semi-automatic, and manual functions for generating color maps from images. The idea is to simplify the colors of an image according to a metric that is useful for the user, using deterministic methods whenever possible. Many images will be clustered well using the out-of-the-box functions, but the package also includes a toolbox of functions for making manual adjustments (layer merging/isolation, blurring, fitting to provided color clusters or those from another image, etc). Also includes export methods for other color/pattern analysis packages (pavo, patternize, colordistance). Software Depends: R (>= 4.1.0) Imports: imager, stats, png, pavo, grDevices, graphics, mgcv, colorRamps, plotfunctions, abind, raster, plot3D Suggests: knitr, rmarkdown, sf, smoothr, clue, spatstat.geom, methods Hannah Weller <hannahiweller@gmail.com> Comprehensive R Archive Network (CRAN) Hannah Weller [aut, cre] (ORCID: <https://orcid.org/0000-0002-5252-4282>) CC BY 4.0 2025-03-03 application/tgz https://CRAN.R-project.org/package=recolorize doi:10.32614/CRAN.package.recolorize