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Open Access Simulation of Rare Events in Images

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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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Document Type: Research Article

Publication date: January 1, 2018

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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