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International Conference on Computer Vision and Graphics

ICCVG 2010: Computer Vision and Graphics pp 43–58Cite as

Ontological Models as Tools for Image Content Understanding

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

Abstract

An approach to computer-assisted image content understanding is presented. It is based on using domain ontology as a source of knowledge concerning the external world whose objects are visualized by the image. The ontology is presented in the form of ontological models constructed on the basis of widely-defined relations. Image content is recognized through solution of relational equations. The main steps of computer-assisted image interpretation and their content understanding are illustrated by examples.

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Author information

Authors and Affiliations

  1. Institute of Biocybernetics and Biomedical Engineering PAS, 4 Ks. Trojdena str., 02-109, Warsaw, Poland

    Juliusz L. Kulikowski

Authors
  1. Juliusz L. Kulikowski
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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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Kulikowski, J.L. (2010). Ontological Models as Tools for Image Content Understanding. 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_6

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  • DOI: https://doi.org/10.1007/978-3-642-15910-7_6

  • 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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