recolorize (version 0.2.0)

wernerColor: Remap an image to Werner's nomenclature

Description

Remaps a recolorize object to the colors in Werner's Nomenclature of Colors by Patrick Syme (1821), one of the first attempts at an objective color reference in western science, notably used by Charles Darwin.

Usage

wernerColor(
  recolorize_obj,
  which_img = c("original", "recolored"),
  n_colors = 5
)

Value

A recolorize object with an additional list element, werner_names, listing the Werner color names for each center.

Arguments

recolorize_obj

A recolorize object as returned by recolorize(), recluster(), or imposeColors().

which_img

Which image to recolor; one of either "original" or "recolored".

n_colors

Number of colors to list out in plotting, in order of size. Ex: n_colors = 5 will plot the 5 largest colors and their names. All colors are returned as a normal recolorize object regardless of n_colors; this only affects the plot.

Details

See https://www.c82.net/werner/ to check out the original colors.

Examples

# get an initial fit:
corbetti <- system.file("extdata/corbetti.png", package = "recolorize")
recolored_corbetti <- recolorize(corbetti, plotting = FALSE)

# recolor original image
corbetti_werner <- wernerColor(recolored_corbetti,
                               which_img = "original",
                               n_colors = 6)

# we can simplify the colors and then do it again:
corbetti_recluster <- recluster(recolored_corbetti,
                                cutoff = 45,
                                plot_hclust = FALSE)
corbetti_werner <- wernerColor(corbetti_recluster,
                               which_img = "recolored")