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2005-04-07       - By Thomas Lumley
Reply:     <<     11     12     13     14     15     16     17     18     19     20     >>  

On Thu, 7 Apr 2005, Earl F. Glynn wrote:
>> For example, R already provides both hsv() and rgb() to create colours
>> from vectors of three numbers, but the correspondence is different in each
>> case.
>
> Sorry if some consider this off topic:
> HSV as a color space is really only liked by computer scientists.  Image
> processing and color engineers rarely if ever use HSV.
>
> There are MANY other color spaces and computations possible (see "color
> spaces" or "color conversions" or other color topics on  this page
> http://www.efg2.com/Lab/Library/Color/Science.htm).  Most of these color
> manipulations in R are not easy because the very first step, converting
> colors, I mean numbers <g>, like #ff0080 to the red, green components is
> hindered because one must reinvent the wheel of hex-to-decimal conversion.

Yes, and convertColor in R-devel does quite a few of these (XYZ
tristimulus space; CIE Lab and Luv; sRGB, Apple RGB and roll-your-own
RGB based on chromaticities of the primaries; and chromatic adaptation for
changing the white point).  The "colorspace" package has a more elegant
implementation of a somewhat different set of color space computations,
and R-devel also has hcl() for specifying colors based on hue, chroma, and
luminance (polar coordinates in Luv space).

Basing R graphics on these (and so making them colours rather than just
data about colours) requires a further step of considering the
characteristics of the output device. This might be as simple as declaring
R's output to be sRGB or as complicated as worrying about ICC profiles.

  -thomas

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