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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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 101; p. 104209
Main Authors:	Wei, Dong, Wang, Zhongbin, Si, Lei, Tan, Chao, Lu, Xuliang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2021
Subjects:	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 Access:	Get full text
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