Lévy–Cauchy arithmetic optimization algorithm combined with rough K-means for image segmentation

Rough K-Means (RKM) is a well-known unsupervised clustering algorithm based on rough set logic that is utilized in a wide range of applications. However, when dealing with complex problems like image segmentation, it is frequently trapped in local optima during execution, resulting in undesirable se...

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Veröffentlicht in:	Applied soft computing Jg. 140; S. 110268
Hauptverfasser:	Das, Arunita, Namtirtha, Amrita, Dutta, Animesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2023
Schlagworte:	Clustering Image segmentation Nature-inspired optimization algorithm Rough set Image segmentation Clustering Rough set Nature-inspired optimization algorithm
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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