An image segmentation method based on a modified local-information weighted intuitionistic Fuzzy C-means clustering and Gold-panning Algorithm

The image segmentation method based on clustering analysis has the advantages of small sample space constraints and strong universality. As an unsupervised clustering algorithm, the fuzzy C-means clustering algorithm is widely used in practical engineering. However, it is still some shortcomings: th...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 101; S. 104209
Hauptverfasser:	Wei, Dong, Wang, Zhongbin, Si, Lei, Tan, Chao, Lu, Xuliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2021
Schlagworte:	Image segmentation Local-information weight Swarm intelligence Unsupervised clustering algorithm Image segmentation Swarm intelligence Local-information weight Unsupervised clustering algorithm
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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