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Color image segmentatiom using several state-of-the-art clustering algorithms, including GMM, FCM, FSC and MEC.

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Color_Image_Segmentation

Color image segmentatiom using several state-of-the-art clustering algorithms, including Fuzzy c-means clustering (FCM), Fuzzy subspace clustering (FSC), Maximum entropy clustering (MEC) and Gaussian mixture model (GMM).
Matlab code.


FCM, FSC and MEC have introduced in Fuzzy_Clustering_Algorithms.
GMM has introduced in Gaussian_Mixture_Model_for_Clustering.
In order to achieve better segmentation results, hyperparameters can be adjusted appropriately.


An example for Color Image Sementation

The row image:

Run demo_color_segmentation.m
The segmentation results:

FCM

FSC

MEC

GMM

Author of Code

Rongrong Wang (kailugaji)
My blog
2020/7/5

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Color image segmentatiom using several state-of-the-art clustering algorithms, including GMM, FCM, FSC and MEC.

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