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

Documentation:

Reference manual:	recolorize.html , recolorize.pdf
Vignettes:	Introduction (source, R code) Step 0: Image acquisition and preparation (source, R code) Step 1: Loading & processing images (source, R code) Step 2: Initial clustering (source, R code) Step 3: Refinement (source, R code) Step 4: Tweaks & edits (source, R code) Step 5: Exporting & visualizing output (source, R code)

Downloads:

Package source:	recolorize_0.2.0.tar.gz
Windows binaries:	r-devel: recolorize_0.2.0.zip, r-release: recolorize_0.2.0.zip, r-oldrel: recolorize_0.2.0.zip
macOS binaries:	r-release (arm64): recolorize_0.2.0.tgz, r-oldrel (arm64): recolorize_0.2.0.tgz, r-release (x86_64): recolorize_0.2.0.tgz, r-oldrel (x86_64): recolorize_0.2.0.tgz
Old sources:	recolorize archive

Linking:

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