Yarpiz Academic Source Codes and Tutorials
In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can select desired approach of coding.
Following picture, show the output of the application for a sample image.
Result of Clustering-based Color Reduction applied to picture of El-Gölü (Tabriz)
Downloads
The download link of this project follows.
Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB
DownloadCiting This Work
If you wish, you can cite this content as follows.
Cite as:
Mostapha Kalami Heris, Intelligent Image Color Reduction and Quantization (URL: https://yarpiz.com/413/ypap117-color-reduction-and-quantization), Yarpiz, 2015.
