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:
Downloads:
Reverse dependencies:
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