Automatic Fuzzy Clustering Framework for Image Segmentation

Clustering algorithms by minimizing an objective function share a clear drawback of having to set the number of clusters manually. Although density peak clustering is able to find the number of clusters, it suffers from memory overflow when it is used for image segmentation because a moderate-size i...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2020-09, Vol.28 (9), p.2078-2092
Hauptverfasser:	Lei, Tao, Liu, Peng, Jia, Xiaohong, Zhang, Xuande, Meng, Hongying, Nandi, Asoke K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Clustering algorithms Color Computational complexity Density Density peak (DP) algorithm Entropy fuzzy clustering Histograms Image segmentation Linear programming Pixels Similarity superpixel
Online-Zugang:	Volltext
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