Markov random measure fields for image analysis

A new Bayesian formulation for the image segmentation problem is presented. It is based on the key idea of using a doubly stochastic prior model for the label field, which allows one to find exact optimal estimators by the minimization of a differentiable function. Comparisons with existing methods...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Marroquin, J.L., Arce, E., Botello, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Computer vision Image analysis Image edge detection Image motion analysis Image segmentation Magnetic field measurement Magnetic resonance Motion segmentation Stochastic processes
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