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Proceedings Paper

Three-dimensional tracking of objects in holographic imaging
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Paper Abstract

In this paper we overview on a three dimensional imaging and tracking algorithm in order to track biological specimen in sequence of holographic microscopy images. We use a region tracking method based on MAP estimator in a Bayesian framework and we adapt it to 3D holographic data sequences to efficiently track the desired microorganism. In our formulation, the target-background interface is modeled as the isolevel of a level set function which is evolved at each frame via level set update rule. The statistical characteristics of the target microorganism versus the background are exploited to evolve the interface from one frame to another. Using the bivariate Gaussian distribution to model the reconstructed hologram data enables one to take into account the correlation between the amplitude and phase of the reconstructed field to obtain a more accurate solution. Also, the level set surface evolution provides a robust, efficient and numerically stable method which deals automatically with the change in the topology and geometrical deformations that a microorganism may be subject to.

Paper Details

Date Published: 26 September 2007
PDF: 9 pages
Proc. SPIE 6778, Three-Dimensional TV, Video, and Display VI, 67780N (26 September 2007); doi: 10.1117/12.752618
Show Author Affiliations
Mehdi DaneshPanah, Univ. of Connecticut (United States)
Bahram Javidi, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 6778:
Three-Dimensional TV, Video, and Display VI
Bahram Javidi; Fumio Okano; Jung-Young Son, Editor(s)

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