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Applying Parallel Computations in Problems of Processing Images of Fluorescent Point Emitters

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Bulletin of the Russian Academy of Sciences: Physics Aims and scope

Abstract

Approaches are discussed to solving the problem of automatic image recognition of point and paired fluorescent objects in a microscope’s field of view for a CCD camera, and for determining their parameters via parallel computing on the basis of a central processor. Results are presented from computations on Intel Core i5 and i7 microprocessors. Ways of distributing tasks over cores and stages of computation are described. The ability of parallel computing to shorten the length of point image processing is shown as well.

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ACKNOWLEDGMENTS

This work was supported by the RF Ministry of Education and Science, project RFMEFI577170254 “An Intraoperational Navigation System for Minimally Invasive Surgery with the Support of Augmented Reality Technology Based on Virtual 3D Models of Organs, Obtained Using the Results from CT Diagnostics.”

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Authors and Affiliations

  1. Volga State University of Technology, 424000, Yoshkar-Ola, Republic of Mari El, Russia

    A. A. Baev & A. A. Rozhentsov

Authors
  1. A. A. Baev
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  2. A. A. Rozhentsov
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Correspondence to A. A. Rozhentsov.

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Translated by O. Maslova

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Baev, A.A., Rozhentsov, A.A. Applying Parallel Computations in Problems of Processing Images of Fluorescent Point Emitters. Bull. Russ. Acad. Sci. Phys. 82, 1514–1517 (2018). https://doi.org/10.3103/S1062873818120031

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  • DOI: https://doi.org/10.3103/S1062873818120031

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