Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation

The fuzzy C-means (FCM) clustering method is proven to be an efficient method to segment images. However, the FCM method is not robustness and less accurate for noise images. In this paper, a modified FCM method named FCM_SICM for noise image segmentation is proposed. Firstly, fast bilateral filter...

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Veröffentlicht in:	Applied soft computing Jg. 92; S. 106318
Hauptverfasser:	Wang, Qingsheng, Wang, Xiaopeng, Fang, Chao, Yang, Wenting
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2020
Schlagworte:	FCM Local information Noise image segmentation Robustness FCM Robustness Local information Noise image segmentation
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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