Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions

We present an adaptive fuzzy clustering scheme for image segmentation, the adaptive fuzzy clustering/segmentation (AFCS) algorithm. In AFCS, the nonstationary nature of images is taken into account by modifying the prototype vectors as functions of the sample location in the image. The inherent high...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part A, Systems and humans man and cybernetics. Part A, Systems and humans, 1998-05, Vol.28 (3), p.359-369
Hauptverfasser:	Tolias, Y.A., Panas, S.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic frequency control Clustering algorithms Entropy Fuzzy sets Image segmentation Parameter estimation Partitioning algorithms Prototypes Spatial resolution Stochastic processes
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