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Volume: 30 | Article ID: art00014
Simulation of Rare Events in Images
  DOI :  10.2352/ISSN.2470-1173.2018.15.COIMG-227  Published OnlineJanuary 2018

Many important physical processes in fields such as materials science, ecology, structural biology, and clinical pathology involve the study of microscopic structures – from formation and propagation to steady-state behavior. The study of these phenomena is often very slow, creating an enormous need for accurate computer simulation of the underlying processes. In this paper, we provide a robust algorithm for simulation of images of such processes modeled by a Gibbs distribution. As part of our rare-event simulation solution, we adapt an importance sampling technique specifically for Markov random fields. We conclude by showing results of simulation of images of abnormal grain growth in poly-crystalline materials and NiCrAl super-alloy precipitates that find applications in several important real-life fields such as aircraft material design.

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Shruthi S. Kubatur, Mary L. Comer, "Simulation of Rare Events in Imagesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Computational Imaging XVI,  2018,  pp 227-1 - 2275,

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