colordistance: Distance Metrics for Image Color Similarity

Loads and displays images, selectively masks specified background colors, bins pixels by color using either data-dependent or automatically generated color bins, quantitatively measures color similarity among images using one of several distance metrics for comparing pixel color clusters, and clusters images by object color similarity. Uses CIELAB, RGB, or HSV color spaces. Originally written for use with organism coloration (reef fish color diversity, butterfly mimicry, etc), but easily applicable for any image set.

Version:	1.1.2
Depends:	R (≥ 3.4.0)
Imports:	jpeg, png, stats, clue, ape, mgcv, emdist, scatterplot3d, plotly, gplots, abind, magrittr, scales, qpdf, spatstat.geom
Suggests:	knitr, rmarkdown, testthat
Published:	2021-03-20
Author:	Hannah Weller [aut, cre]
Maintainer:	Hannah Weller <hannahiweller at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	colordistance results

Documentation:

Reference manual:	colordistance.pdf
Vignettes:	Pixel Binning Methods Color Distance Metrics Color Spaces Introduction CIELab Analyses

Downloads:

Package source:	colordistance_1.1.2.tar.gz
Windows binaries:	r-devel: colordistance_1.1.2.zip, r-release: colordistance_1.1.2.zip, r-oldrel: colordistance_1.1.2.zip
macOS binaries:	r-release (arm64): colordistance_1.1.2.tgz, r-oldrel (arm64): colordistance_1.1.2.tgz, r-release (x86_64): colordistance_1.1.2.tgz, r-oldrel (x86_64): colordistance_1.1.2.tgz
Old sources:	colordistance archive

Reverse dependencies:

Reverse imports:

countcolors, PUPMCR

Linking:

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