cielab_coldist

A stopgap function for generating a pavo::coldist object
from CIE Lab colors. This a pretty serious abstraction of the
original intention of a <code>coldist</code> object, which is to use
a combination of spectra data, visual model, and/or receptor-noise
model to calculate perceived chromatic and achromatic distances
between colors. Because CIE Lab color space is an approximately
perceptually uniform color space for human vision, we can calculate
a version of those distances for a human viewer directly from
CIE Lab. A decent option if you want preliminary results,
if you only care about human perception, or if you don't have access
to spectral data.

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).

Hannah Weller

recolorize

Color-Based Image Segmentation

cielab_coldist function

<dl><dt>rgbcols</dt>
<dd>An nx3 matrix of RGB colors (rows are colors and
columns are R, G, and B channels).</dd></dl>

Arguments

Generate a 'coldist' object for CIE Lab colors — cielab_coldist

<dl>

<dt>rgbcols</dt>
<dd>An nx3 matrix of RGB colors (rows are colors and
columns are R, G, and B channels).</dd>

</dl>

cielab_coldist: Generate a 'coldist' object for CIE Lab colors

Description

Usage

Value

Arguments

Details