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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2013: Artificial Intelligence and Soft Computing pp 309–319Cite as

Improved X-ray Edge Detection Based on Background Extraction Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7895))

Abstract

Digital X-ray imaging is a source of generous information about health of patient bones. One of major obstacles in computer analysis of digital X-ray images is the presence of bone tissue and soft-tissue areas. It has a negative impact on the quality of bone edge detection or detection of bones area on X-ray images. The main goal is to create an efficient method of edge detection which performs efficiently on properly prepared digital X-ray images. This paper describes a new method of background removal from X-ray images where the background is in the form of soft-tissue. The aim of this is to prepare the image to the next step of processing. We also present a new approach to edge detection of bones on X-ray images. Performance of the proposed method is achieved by eliminating unnecessary areas of the image which are not bone tissue and which are not the main region of interest. Additionally, the presented method of edge detection is partly based on known algorithm named Integral Image and specific edge detection filter, what allow to achieve the desired objectives.

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Czȩstochowa University of Technology, al. Armii Krajowej 36, 42-200, Czȩstochowa, Poland

    Jakub Romanowski, Tomasz Nowak, Patryk Najgebauer & Sławomir Litwiński

Authors
  1. Jakub Romanowski
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  2. Tomasz Nowak
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  3. Patryk Najgebauer
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  4. Sławomir Litwiński
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Michiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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Romanowski, J., Nowak, T., Najgebauer, P., Litwiński, S. (2013). Improved X-ray Edge Detection Based on Background Extraction Algorithm. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38610-7_29

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  • DOI: https://doi.org/10.1007/978-3-642-38610-7_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38609-1

  • Online ISBN: 978-3-642-38610-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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