Fuzzy subspace clustering noisy image segmentation algorithm with adaptive local variance & non-local information and mean membership linking

The Fuzzy C-means (FCM) clustering algorithm is an effective method for image segmentation. Non-local spatial information considers more redundant information of the image thus is more robust to noise. However, under-segmentation of non-local spatial information may exist with higher noise density....

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 110; S. 104672
Hauptverfasser:	Wei, Tongyi, Wang, Xiaopeng, Li, Xinna, Zhu, Shengyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2022
Schlagworte:	Fuzzy subspace clustering Mean membership linking Noise image segmentation Robustness Mean membership linking Fuzzy subspace clustering Robustness Noise image segmentation
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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