A Bayesian Approach to Morphological Models Characterization

A Bayesian Approach to Morphological Models Characterization

Morphological models are commonly used to describe microstructures observed in heterogeneous materials. Usually, these models depend upon a set of parameters that must be chosen carefully to match experimental observations conducted on the microstructure. A common approach to perform the parameters...

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Bibliographic Details
Main Authors: Bruno Figliuzzi, Antoine Montaux-Lambert, François Willot, Grégoire Naudin, Pierre Dupuis, Bernard Querleux, Etienne Huguet
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2021-12-01
Series:Image Analysis and Stereology
Subjects:
bayesian models
monte carlo markov chains algorithms
morphological models
Online Access:https://www.ias-iss.org/ojs/IAS/article/view/2641

Internet

https://www.ias-iss.org/ojs/IAS/article/view/2641

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