Plotting the 1931 CIE Standard Chromaticity Diagram Using MATLAB
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Resource Overview
Creating the 1931 CIE Standard Chromaticity Diagram with MATLAB - Implementation methods, algorithm description, and practical applications in color science
Detailed Documentation
This article demonstrates how to plot the 1931 CIE Standard Chromaticity Diagram using MATLAB. The diagram represents all colors visible to the human eye through a triangular visualization and serves as a fundamental model for color perception with extensive applications in color science and engineering. We will detail the construction process, including how to calculate and plot the coordinates using MATLAB's built-in functions.
The implementation involves calculating chromaticity coordinates (x,y) from spectral data using MATLAB's color conversion functions. Key steps include:
- Loading CIE 1931 color matching functions
- Converting spectral data to XYZ tristimulus values
- Calculating chromaticity coordinates using x = X/(X+Y+Z) and y = Y/(X+Y+Z)
- Plotting the spectral locus and horse-shoe shaped diagram using plot() functions
- Adding wavelength labels and color fill operations
We will discuss how to interpret and utilize the diagram, including practical applications for solving real-world color problems. Through this tutorial, you will master MATLAB techniques for color science applications and understand how to apply the 1931 CIE Standard Chromaticity Diagram to practical color-related challenges.
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