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Pre-processing, Extraction and Recognition of Binary Erythrocyte Shapes for Computer-Assisted Diagnosis Based on MGG Images

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Book cover Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6374))

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Abstract

The paper presents an approach for computer-assisted diagnosis of some diseases (e.g. anaemia, malaria), which are caused by deformations of erythrocyte shapes. In the method firstly the thresholding of the input MGG image is performed, using modified thresholding based on fuzzy measures. Secondly, every cell is localised and extracted. Only the red blood cells are taken for later processing. Using the template matching approach and shape description algorithm every extracted erythrocyte is assigned to one of the twelve classes. Basing on the knowledge about the number of particular unaffected and affected red blood cells the diagnosis can be made. Hence, the possibilities of automatic diagnosis are discussed to stress the potential application of the method.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Żołnierska 49, 71-210, Szczecin, Poland

    Dariusz Frejlichowski

Authors
  1. Dariusz Frejlichowski
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008 Warsaw, konradw@pjwstk.edu.pl, The Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Polan

    Konrad Wojciechowski

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Frejlichowski, D. (2010). Pre-processing, Extraction and Recognition of Binary Erythrocyte Shapes for Computer-Assisted Diagnosis Based on MGG Images. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15910-7_42

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  • DOI: https://doi.org/10.1007/978-3-642-15910-7_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15909-1

  • Online ISBN: 978-3-642-15910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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