Is there a function to draw the cie chromaticity diagram ?

52 views (last 30 days)
Is there a function to draw the CIE chromaticity diagram ?
How to use plotChromaticity ?

Answers (2)

Vishnu Baba Sundaresan
Vishnu Baba Sundaresan on 10 Aug 2018
Edited: Vishnu Baba Sundaresan on 10 Aug 2018
Use plotChromaticity() function in MATLAB 2017b and above. If you would loci of data, use plot command where variables cie_x and cie_y contain data relevant to your image.
figure(1);
plotChromaticity();
hold on;
h1 = plot(cie_x, cie_y);
legend(h1,{'legend_text1'})
  2 Comments
Thomas Hoffend
Thomas Hoffend on 17 Jan 2019
The built-in function plotChromaticity as well as other submissions to the file exchange (e.g. the Computational Color Science package linked below) create plots that have distortion at the edge of and extending outside of the color gamut.
Distorted figure from plotChromaticity:
Distorted.png
Better figure (custom color space for a specific device illuminated by a RGB LED):
Better.png
There is still some distortion outside the gamut for the "better" plot that becomes more visible depending on the color space used. I think there is a way to improve this (working on it). Some of the visible distortion along the CMY radial lines is from the way that I meshed the xy color space and becomes less visible with a higher number of triangles in my mesh. Also it might be desired to decrease saturation a bit going from the white point out to the edges of the gamut.
Anything outside the gamut is really am employment of artistic license. The point is to try to make something that looks good and natural for plotting color data.
Youngkyu Bae
Youngkyu Bae on 5 Jun 2019
May I ask you how can I make a better color gamut image in MATLAB?

Sign in to comment.


KSSV
KSSV on 13 Mar 2018
  1 Comment
Ole
Ole on 13 Mar 2018
Looks like the the chromaticity diagram is not generated there but read from image.

Sign in to comment.

Categories

Find more on Data Distribution Plots in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!