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recolorize
View on CRAN: Click
here
Download and install recolorize package within the R console
Install from CRAN:
install.packages("recolorize")
Install from Github:
library("remotes")
install_github("cran/recolorize") Install by package version:
library("remotes")
install_version("recolorize", "0.2.0") Attach the package and use:
library("recolorize")
Maintained by
Hannah Weller
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-07
Latest Update: 2025-03-03
Description:
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).
How to cite:
Hannah Weller (2021). recolorize: Color-Based Image Segmentation. R package version 0.2.0, https://cran.r-project.org/web/packages/recolorize. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2021-12-07 09:20)
Other packages that cited recolorize R package
View recolorize citation profile
Other R packages that recolorize depends,
imports, suggests or enhances
Complete documentation for recolorize
Functions, R codes and Examples using
the recolorize R package
Some associated functions: absorbLayer . add_image . adjust_color . apply_imager_operation . array_to_RasterStack . array_to_cimg . assignPixels . backgroundCondition . backgroundIndex . blurImage . brick_to_array . cielab_coldist . cimg_to_array . classify_recolorize . clean_merge_params . col2col . colorClusters . colorClustersHist . colorClustersKMeans . colorResiduals . constructImage . editLayer . editLayers . expand_recolorize . hclust_color . imDist . imHeatmap . imposeColors . labelCol . mergeLayers . pixelAssignMatrix . plot.recolorize . plot.recolorizeVector . plotColorClusters . plotColorPalette . plotImageArray . raster_to_array . readImage . recluster . recoloredImage . recolorize . recolorize2 . recolorizeVector . recolorize_adjacency . recolorize_to_patternize . recolorize_to_png . rerun_recolorize . rgb2hsl . splitByColor . thresholdRecolor . werner . wernerColor .
Some associated R codes: absorbLayer.R . add_image.R . adjust_colors.R . apply_imager_operation.R . assignPixels.R . backgroundCondition.R . backgroundIndex.R . blurImage.R . brick_to_array.R . cielab_coldist.R . cimgConversions.R . collapse_expand.R . colorClusters.R . colorResiduals.R . constructImage.R . editLayers.R . hclust_color.R . imDist.R . imposeColors.R . mergeLayers.R . pixelAssignMatrix.R . plotColorClusters.R . plotColorPalette.R . plotImageArray.R . plot_recolorize.R . raster_array_conversions.R . readImage.R . recluster.R . recolorImage.R . recolorize.R . recolorize2.R . recolorizeVector.R . recolorize_adjacency.R . recolorize_to_patternize.R . recolorize_to_png.R . rerun_recolorize.R . splitByColor.R . thresholdRecolor.R . wernerColor.R . Full recolorize package functions and examples
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