The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 ORCID iD [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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=recolorize to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.