Method of Stochastic Approximation with Averaging for Evaluating Sizes of Microparticles in Digital Image

  • Authors:

  • A. V. Nazin;E. V. Piterskaya

  • Affiliations:

  • Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia;Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

  • Venue:
  • Automation and Remote Control
  • Year:
  • 2002

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Abstract

An approach to evaluating the sizes of round microparticles in a digitized image was proposed. It is based on preliminary localization of particles followed by refinement of their parameters (coordinates and size) by optimal approximation of the brightness function by the rms criterion Attention was focused on optimization which relies on stochastic approximation with averaging. Results of a numerical experiment were presented.