Multi-objective evolutionary fuzzy clustering for image segmentation with MOEA/D

[Display omitted] •The proposed algorithm can preserve image details while removing noise for image segmentation.•Two problem-specific techniques are introduced to achieve well performance for image segmentation.•OBL is used in multi-objective optimization to achieve optimal solutions with a better...

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Veröffentlicht in:	Applied soft computing Jg. 48; S. 621 - 637
Hauptverfasser:	Zhang, Mengxuan, Jiao, Licheng, Ma, Wenping, Ma, Jingjing, Gong, Maoguo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2016
Schlagworte:	Fuzzy clustering Image segmentation Local information Multi-objective evolutionary algorithm with decomposition Opposition-based learning Multi-objective evolutionary algorithm with decomposition Image segmentation Fuzzy clustering Local information Opposition-based learning
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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