Cluster validation for unsupervised stochastic model-based image segmentation

Image segmentation is an important and early processing stage in many image analysis problems. Often, this must be done in an unsupervised fashion in that training data is not available and the class-conditioned feature vectors must be estimated directly from the data. A major problem in such applic...

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Veröffentlicht in:	IEEE transactions on image processing 1998-02, Vol.7 (2), p.180-195
Hauptverfasser:	Langan, D.A., Modestino, J.W., Jun Zhang
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Clustering algorithms Clustering methods Exact sciences and technology Image analysis Image classification Image processing Image segmentation Information, signal and communications theory Robustness Signal processing Stochastic processes Systems engineering and theory Telecommunications and information theory Training data
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