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:	0.1.0
Depends:	R (≥ 3.50)
Imports:	imager, stats, png, pavo, grDevices, graphics, mgcv, colorRamps, plotfunctions, abind, raster, plot3D
Suggests:	knitr, rmarkdown, sp, smoothr
Published:	2021-12-07
DOI:	10.32614/CRAN.package.recolorize
Author:	Hannah Weller [aut, cre]
Maintainer:	Hannah Weller <hannahiweller at gmail.com>
License:	CC BY 4.0
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	recolorize results

Documentation:

Reference manual:	recolorize.pdf
Vignettes:	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

Downloads:

Package source:	recolorize_0.1.0.tar.gz
Windows binaries:	r-devel: recolorize_0.1.0.zip, r-release: recolorize_0.1.0.zip, r-oldrel: recolorize_0.1.0.zip
macOS binaries:	r-release (arm64): recolorize_0.1.0.tgz, r-oldrel (arm64): recolorize_0.1.0.tgz, r-release (x86_64): recolorize_0.1.0.tgz, r-oldrel (x86_64): recolorize_0.1.0.tgz

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