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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Vydané v:	IEEE transactions on fuzzy systems Ročník 28; číslo 9; s. 2078 - 2092
Hlavní autori:	Lei, Tao, Liu, Peng, Jia, Xiaohong, Zhang, Xuande, Meng, Hongying, Nandi, Asoke K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Clustering Clustering algorithms Color Computational complexity Density Density peak (DP) algorithm Entropy fuzzy clustering Histograms Image segmentation Linear programming Pixels Similarity superpixel
ISSN:	1063-6706, 1941-0034
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