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Filtering of images of small-sized objects in systems with circular microscaning

  • Analysis and Synthesis of Signals and Images
  • Published:
Optoelectronics, Instrumentation and Data Processing Aims and scope

Abstract

This paper describes a model for detection of images obtained in circular microscanning. To detect objects on a low background with the use of an image detection system based on circular microscanning, an approach to image filtering is proposed. The calculation of the noise covariance matrix with respect to the data obtained by the numerical simulation method is used. The calculated matrix is used in filter construction. It is shown that the applied approach makes it possible to increase the signal/noise ratio in image processing with a low background component.

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Authors and Affiliations

  1. Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, pr. Academika Koptyuga 1, Novosibirsk, 630090, Russia

    A. K. Shakenov & D. E. Budeyev

Authors
  1. A. K. Shakenov
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  2. D. E. Budeyev
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Corresponding author

Correspondence to A. K. Shakenov.

Additional information

Original Russian Text © A.K. Shakenov, D.E. Budeyev, 2017, published in Avtometriya, 2017, Vol. 53, No. 4, pp. 120–126.

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Shakenov, A.K., Budeyev, D.E. Filtering of images of small-sized objects in systems with circular microscaning. Optoelectron.Instrument.Proc. 53, 408–413 (2017). https://doi.org/10.3103/S8756699017040148

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  • DOI: https://doi.org/10.3103/S8756699017040148

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