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APPLICATION OF IMAGE PROCESSING TECHNIQUES IN MALE FERTILITY ASSESSMENT

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Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

Abstract

An algorithm for detection of sperm cells in images of live samples of semen was elaborated. The algorithm processes an original image and finds sperm cells positions. Presented solution is much more robust than those used in current Computer Assisted Semen Analysis systems. The algorithm will be used in future in the computer system supporting automated semen analysis.

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REFERENCES

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Author information

Authors and Affiliations

  1. Institute of Biocybernetics and Biomedical Engineering, Polish Academy Of Sciences, Ks.Trojdena 4, Warsaw, 02-109, Poland

    Lukasz Witkowski

  2. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland

    Przemyslaw Rokita

Authors
  1. Lukasz Witkowski
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  2. Przemyslaw Rokita
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Witkowski, L., Rokita, P. (2006). APPLICATION OF IMAGE PROCESSING TECHNIQUES IN MALE FERTILITY ASSESSMENT. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_129

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_129

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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