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Image Segmentation Method Based on Statistical Parameters of Homogeneous Data Set

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Advances in Artificial Systems for Medicine and Education II (AIMEE2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 902))

Abstract

In this paper, we present a new automatic method of image segmentation, which uses statistical parameters of a homogeneous data set. The method can be applied to image sets obtained from CT, MRI, ultrasound, and histological investigations. The result of applying the proposed method is image components and their contours.

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Author information

Authors and Affiliations

  1. Igor Sikorsky Kyiv Polytechnic Institute, 37 Peremogy Ave, Kiev, 03056, Ukraine

    Oksana Shkurat, Yevgeniya Sulema, Viktoriya Suschuk-Sliusarenko & Andrii Dychka

Authors
  1. Oksana Shkurat
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  2. Yevgeniya Sulema
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  3. Viktoriya Suschuk-Sliusarenko
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  4. Andrii Dychka
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Corresponding author

Correspondence to Yevgeniya Sulema .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia

    Sergey V. Petoukhov

  3. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Davie, FL, USA

    Matthew He

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Shkurat, O., Sulema, Y., Suschuk-Sliusarenko, V., Dychka, A. (2020). Image Segmentation Method Based on Statistical Parameters of Homogeneous Data Set. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_25

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