recolorize: Color-Based Image Segmentation
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).
| Version: | 0.2.0 |
| 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 |
| Published: | 2025-03-03 |
| DOI: | 10.32614/CRAN.package.recolorize |
| Author: | Hannah Weller [aut, cre] |
| Maintainer: | Hannah Weller <hannahiweller at gmail.com> |
| BugReports: | https://github.com/hiweller/recolorize/issues |
| License: | CC BY 4.0 |
| URL: | https://hiweller.github.io/recolorize/,https://github.com/hiweller/recolorize |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | recolorize results |
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