A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation

Hidden Markov random field (HMRF) models have been widely used for image segmentation, as they appear naturally in problems where a spatially constrained clustering scheme, taking into account the mutual influences of neighboring sites, is asked for. Fuzzy c -means (FCM) clustering has also been suc...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 16; H. 5; S. 1351 - 1361
Hauptverfasser:	Chatzis, S.P., Varvarigou, T.A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2008 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Clustering Context modeling Fuzzy Fuzzy clustering Fuzzy logic Fuzzy set theory Hidden Markov models Image color analysis Image edge detection Image restoration Image segmentation Magnetorheological fluids Markov processes Markov random fields Mathematical models mean-field approximation Parameter estimation Pixel Stochastic processes Studies
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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