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Image Enhancement with Applications in Biomedical Processing

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Information Technology, Systems Research, and Computational Physics (ITSRCP 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 945))

Abstract

The images obtained by X-Ray or computed tomography (CT) may be contaminated with different kinds of noise or show lack of sharpness, too low or high intensity and poor contrast. Such image deficiencies can be induced by adverse physical conditions and by the transmission properties of imaging devices. A number of enhancement techniques in image processing may improve the quality of the image. These include: point arithmetic operations, smoothing and sharpening filters and histogram modifications. The choice of the technique, however, depends on the type of image deficiency. In this paper, the primary aim is to propose an efficient image enhancement method based on nonparametric estimation so as to enable medical images to have better contrast. To evaluate the method performance, X-Ray and CT images have been studied. Experimental results verify that applying this approach can engender good image enhancement performance when compared with classical techniques.

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Authors and Affiliations

  1. Centre of Information Technology for Data Analysis Methods, Polish Academy of Sciences, Systems Research Institute, Newelska 6, 01-447, Warsaw, Poland

    Małgorzata Charytanowicz, Piotr Kulczycki, Szymon Łukasik & Piotr A. Kowalski

  2. Electrical Engineering and Computer Science Faculty, Lublin University of Technology, Nadbystrzycka 36A, 20-618, Lublin, Poland

    Małgorzata Charytanowicz

  3. Faculty of Physics and Applied Computer Science, Division for Information Technology and Biometrics, AGH University of Science and Technology, Mickiewicza 30, 30-059, Cracow, Poland

    Piotr Kulczycki, Szymon Łukasik & Piotr A. Kowalski

Authors
  1. Małgorzata Charytanowicz
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  2. Piotr Kulczycki
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  3. Szymon Łukasik
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  4. Piotr A. Kowalski
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Corresponding author

Correspondence to Małgorzata Charytanowicz .

Editor information

Editors and Affiliations

  1. Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krakow, Poland

    Piotr Kulczycki

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Faculty of Engineering Sciences, Széchenyi István University, Győr, Hungary

    László T. Kóczy

  4. Faculty of Civil Engineering, Slovak University of Technology, Bratislava, Slovakia

    Radko Mesiar

  5. Department of Electronic Systems, Aalborg University, Aalborg, Denmark

    Rafal Wisniewski

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Charytanowicz, M., Kulczycki, P., Łukasik, S., Kowalski, P.A. (2020). Image Enhancement with Applications in Biomedical Processing. In: Kulczycki, P., Kacprzyk, J., Kóczy, L., Mesiar, R., Wisniewski, R. (eds) Information Technology, Systems Research, and Computational Physics. ITSRCP 2018. Advances in Intelligent Systems and Computing, vol 945. Springer, Cham. https://doi.org/10.1007/978-3-030-18058-4_8

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