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Determination of Geometrical Parameters in Blood Serum Films Using an Image Segmentation Algorithm

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Abstract

Observation of films of biological liquids allows finding markers of diseases such as diabetes or pneumonia. This may allow switching to more cost-effective diagnostic methods based on the use of relatively cheap commodity hardware required for optical microscopy. For this propose cuneiform dehydration of biological fluids is a promising method of medical diagnosis based on the study of structures in blood serum films. Currently, these structures are investigated at a qualitative level. It is known, that the geometric parameters of structures in blood serum films may be caused by some pathologies. In this paper the problems of image segmentation considered to create an image processing algorithm. Additionally, the images processing algorithm of blood serum films is described and experimental results are presented.

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ACKNOWLEDGMENTS

Authors would like to express their gratitude to Tristan MALLEVILLE and the professor Samy Blusseau’s for valuable comments and discussions of this work.

Funding

This research work was supported by Peter the Great St. Petersburg Polytechnic University in the framework of the Program “5-100-2020”.

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Authors and Affiliations

  1. Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, 195251, Russia

    Maksim Baranov, Elena Velichko & Faridoddin Shariaty

  2. Department of Electrical Engineering, University of Qom, Qom, Iran

    Faridoddin Shariaty

Authors
  1. Maksim Baranov
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  2. Elena Velichko
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  3. Faridoddin Shariaty
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Correspondence to Maksim Baranov.

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Baranov, M., Velichko, E. & Shariaty, F. Determination of Geometrical Parameters in Blood Serum Films Using an Image Segmentation Algorithm. Opt. Mem. Neural Networks 29, 330–335 (2020). https://doi.org/10.3103/S1060992X20040037

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  • DOI: https://doi.org/10.3103/S1060992X20040037

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