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A Statistical Dominance Algorithm for Edge Detection and Segmentation of Medical Images

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

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Abstract

This article proposes an algorithm which performs the initial stage of edge detection or segmentation. The algorithm counts the number of pixels with a given relation to the central point of the neighborhood. The output image is a statistical result of the dominance of points over their neighborhoods and allows the classification of these points to be determined (peak, valley, and slope). Therefore, this solution allows the impact of noise or uneven illumination in image results to be reduced. The basic features of the proposed algorithm are considered in this paper. Application of the algorithm is illustrated in the context of image segmentation of a corneal endothelium with a specular microscope, images of specimens of the brain tissue, and hand radiographs.

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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.

The author would like to thank to Dr. J. Gronkowska–Serafin for corneal endothelium images, Dr. A. Kolodziejczyk for neural tissue images, Prof. M. Korkosz and Dr. M. Bielecka for hand radiographs, and Prof. R. Tadeusiewicz for consulting.

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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., Cracow, Poland

    Adam Piórkowski

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  1. Adam Piórkowski
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Correspondence to Adam Piórkowski .

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Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Piórkowski, A. (2016). A Statistical Dominance Algorithm for Edge Detection and Segmentation of Medical Images. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-39796-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

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