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).

Package overview README.md Introduction Step 0: Image acquisition and preparation Step 1: Loading & processing images Step 2: Initial clustering Step 3: Refinement Step 4: Tweaks & edits Step 5: Exporting & visualizing output

Vignettes Man pages API and functions Files

Package details
Author	Hannah Weller [aut, cre] (<https://orcid.org/0000-0002-5252-4282>)
Maintainer	Hannah Weller <hannahiweller@gmail.com>
License	CC BY 4.0
Version	0.2.0
URL	https://hiweller.github.io/recolorize/ https://github.com/hiweller/recolorize
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("recolorize")`