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Application of Markov Random Field in Depth Information Estimation of Microscope Defocus Image

Author(s): L. Bai | F. Chen | X. Zeng

Journal: Information Technology Journal
ISSN 1812-5638

Volume: 7;
Issue: 5;
Start page: 808;
Date: 2008;
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Keywords: Markov random field | depth estimation | the blur model | iterated conditional modes

In this study, for depth information estimation of microscope defocus image, a blur parameter model of defocus image based on Markov random field has been present. It converts problem of depth estimation into optimization problem. An improved Iterated Conditional Modes Algorithm has been applied to complete optimization problem, which the select of initial point employed Least squares estimate algorithm prevents that the result gets into local optimization. The experiments and simulations prove that the model and algorithm is efficiency.

Tango Jona
Tangokurs Rapperswil-Jona

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