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Cell Detection in Corneal Endothelial Images Using Directional Filters

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Image Processing and Communications Challenges 7

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 389))

Abstract

The article presents an algorithm for the detection of corneal endothelium cells in images obtained with confocal microscopy (KH algorithm). Firstly, preprocessing issues are presented. The proposed methodology is based on image processing algorithms, especially filters. The method outputs images that are prepared for further analysis, e.g. stereological measurements. Each step of the algorithm is discussed in detail and other methods of digital images processing are compared to the research results.

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Acknowledgments

This work was financed by the AGH—University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection as a part of statutory project.

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Authors and Affiliations

  1. Department of Geoinfomatics and Applied Computer Science, AGH University of Science and Technology, A. Mickiewicza 30 Av., 30–059, Cracow, Poland

    Krzysztof Habrat, Magdalena Habrat & Adam Piórkowski

  2. Department of Ophthalmology, Pomeranian Medical University, Powstańców Wielkopolskich 72 Av., 70–111, Szczecin, Poland

    Jolanta Gronkowska-Serafin

  3. Oejenafdelingen, Regionshospitalet Holstebro, Laegaardvej 12a, 7500, Holstebro, Denmark

    Jolanta Gronkowska-Serafin

Authors
  1. Krzysztof Habrat
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  2. Magdalena Habrat
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  3. Jolanta Gronkowska-Serafin
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  4. Adam Piórkowski
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Corresponding author

Correspondence to Adam Piórkowski .

Editor information

Editors and Affiliations

  1. Bydgoszcz, Poland

    Ryszard S. Choraś

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Habrat, K., Habrat, M., Gronkowska-Serafin, J., Piórkowski, A. (2016). Cell Detection in Corneal Endothelial Images Using Directional Filters. In: Choraś, R. (eds) Image Processing and Communications Challenges 7. Advances in Intelligent Systems and Computing, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-319-23814-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-23814-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23813-5

  • Online ISBN: 978-3-319-23814-2

  • eBook Packages: EngineeringEngineering (R0)

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