Kernel-Based Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm

The spatial constrained Fuzzy C-means clustering (FCM) is an effective algorithm for image segmentation. Its background information improves the insensitivity to noise to some extent. In addition, the membership degree of Euclidean distance is not suitable for revealing the non-Euclidean structure o...

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Veröffentlicht in:	Symmetry (Basel) Jg. 11; H. 6; S. 753
Hauptverfasser:	Zhang, Wenyuan, Guo, Xijuan, Huang, Tianyu, Liu, Jiale, Chen, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.06.2019
Schlagworte:	Algorithms Artificial intelligence Background noise Bias Clustering Computation Distance measurement Euclidean geometry Fuzzy sets Image segmentation Kernels Neighborhoods Noise Outliers (statistics) Robustness (mathematics)
ISSN:	2073-8994, 2073-8994
Online-Zugang:	Volltext
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