A Hybrid Markov Random Field/Marked Point Process Model for Analysis of Materials Images

Both Markov random field (MRF) and marked point process (MPP) models have some limitations for image analysis. While the MRF is useful for imposing local constraints, global constraints are not easily modeled. On the contrary, it is convenient to model global constraints, such as geometric shape and...

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Veröffentlicht in:	IEEE transactions on computational imaging 2016-12, Vol.2 (4), p.395-407
Hauptverfasser:	Huixi Zhao, Comer, Mary
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational modeling Constraint modelling Image analysis Image segmentation Imaging marked point process (MPP) Markov chains Markov processes Markov random field (MRF) Materials science Monte Carlo simulation Object detection Optimization Random variables
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