Probabilistic winner-take-all segmentation of images with application to ship detection

A recent neural clustering scheme called "probabilistic winner-take-all (PWTA)" is applied to image segmentation. It is demonstrated that PWTA avoids underutilization of clusters by adapting the form of the cluster-conditional probability density function as clustering proceeds. A modifica...

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Veröffentlicht in:	IEEE transactions on cybernetics 2000-06, Vol.30 (3), p.485-490
Hauptverfasser:	Osman, H., Blostein, S.D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Backpropagation Clusters Cybernetics Histograms Image segmentation Marine vehicles Maximum likelihood detection Oceans Probabilistic methods Probability density function Probability theory Radar detection Sea surface Segmentation Ships Synthetic aperture radar
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