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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Bibliographic Details

Published in:	IEEE transactions on fuzzy systems Vol. 28; no. 9; pp. 2078 - 2092
Main Authors:	Lei, Tao, Liu, Peng, Jia, Xiaohong, Zhang, Xuande, Meng, Hongying, Nandi, Asoke K.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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