Analysis of Residuals from Segmentation of Noisy Images
نویسنده
چکیده
The prior model or penalizing term in Bayesian image analysis is typically a Markov random eld parametrized by one or more smoothing parameters. For many commonly applied Markov random eld penalizing terms there do not exist both objective and practically applicable methods for choosing the smoothing parameters. In this paper we discuss approaches to analysis of residuals in a simple case of image segmentation, and study to which extent such an analysis can provide information on whether a suitable value of the smoothing parameter has been used.
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