A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation

In this paper, a generalized multiple-kernel fuzzy C-means (FCM) (MKFCM) methodology is introduced as a framework for image-segmentation problems. In the framework, aside from the fact that the composite kernels are used in the kernel FCM (KFCM), a linear combination of multiple kernels is proposed...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Jg. 41; H. 5; S. 1263 - 1274
Hauptverfasser:	Long Chen, Chen, C. L. P., Mingzhu Lu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2011
Schlagworte:	Algorithm design and analysis Algorithms Animals Brain - anatomy & histology Clustering algorithms Composite kernel Computer Simulation Cybernetics Dogs Fuzzy fuzzy C-means (FCM) Fuzzy Logic Fuzzy set theory Humans Image Processing, Computer-Assisted - methods Image segmentation Kernel kernel function Kernels Magnetic Resonance Imaging multiple kernel Pixels Prototypes Segmentation Transforms
ISSN:	1083-4419, 1941-0492, 1941-0492
Online-Zugang:	Volltext
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