Estimation of generalized mixtures and its application in image segmentation

We introduce the notion of a generalized mixture and propose some methods for estimating it, along with applications to unsupervised statistical image segmentation. A distribution mixture is said to be "generalized" when the exact nature of the components is not known, but each belongs to...

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Veröffentlicht in:	IEEE transactions on image processing 1997-10, Vol.6 (10), p.1364-1375
Hauptverfasser:	Delignon, Y., Marzouki, A., Pieczynski, W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Bayesian methods Computer Science Detection, estimation, filtering, equalization, prediction Engineering Sciences Exact sciences and technology Hidden Markov models Ice Image processing Image segmentation Information, signal and communications theory Iterative algorithms Iterative methods Maximum likelihood estimation Parameter estimation Radar imaging Signal and communications theory Signal and Image Processing Signal processing Signal, noise Stochastic processes Telecommunications and information theory
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