image2palette: Simple K-means color clustering
Version 1.0.1 (30.6 KB) by
HioBeen Han
Clustering pixel colors of image (K-means) in L/a/b color space to make palette.
image2palette() parses image into pixels in L/a/b space, and returns major color components clustered by k-means method. It also returns the name of colors and palette.
--- Usage example
%% (1) Version 1. Pre-defined image
nCluster = 4;
imagefullpath = [pwd, '\' 'football.jpg'];
image2palette( nCluster, imagefullpath );
%% (2) Version 2. Select image using GUI handle
nCluster = 4;
image2palette( nCluster )
Color label reference: https://en.wikipedia.org/wiki/Web_colors
Cite As
Hio-Been Han (2018). image2palette: Simple K-means color clustering, MATLAB Central File Exchange. Retrieved November 28, 2018.
MATLAB Release Compatibility
Created with
R2018b
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Color Segmentation >
Find more on Color Segmentation in Help Center and MATLAB Answers
Tags
Acknowledgements
Inspired by: rgb2hex and hex2rgb
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