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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Abdoullaev, A.: Reality, Universal Ontology, and Knowledge Systems. In: Toward the Intelligent World. IGI Publishing, Hershey (2008)
Bodenreider, O., Burgun, A.: Biomedical ontologies. In: Chen, H., et al. (eds.) Medical Informatics. Knowledge Management and Data Mining in Biomedicine, ch. 8, pp. 211–235. Springer, New York (2005)
Boninski, P., Przelaskowski, A.: Content-based indexing of medical images for digital radiology applications. In: Pietka, E., Kawa, J. (eds.) Information Technologies in Medicine, pp. 113–120. Springer, Berlin (2008)
Cios, K.J. (ed.): Medical Data Mining and Knowledge Discovery. Physica-Verlag, Heidelberg (2001)
Corcho, O., Gomez-Perez, A.: Evaluating knowledge representation and reasoning capabilities of ontology specification languages. In: Proc. of the ECAI 2000 Workshop on Application of Ontologies and Problem Solving Methods (2000)
Fernandez-Lopez, M., Gomez-Perez, A.: Overview and analysis of methodologies for building ontologies. The Knowledge Engineering Rev. 17(2), 129–156 (2002)
Hawkins, J., Blakeslee, S.: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machine (2004) (Polish translation: Helion, 2006)
Koczkodaj, W.W., Przelaskowski, A., Szopinski, K.T.: Medical knowledge mining from image data - synthesis of medical image assessment for early stroke detection. Machine Graphics and Vision 19(1) (2010) (in press)
Kulikowski, J.L.: Relational approach to structural analysis of images. Machine Graphics and Vision 1(1/2), 299–309 (1992)
Kulikowski, J.L.: From pattern recognition to image interpretation. Biocybernetics and Biomedical Engineering 22(3/4), 177–197 (2002)
Kulikowski, J.L.: Description of irregular composite objects by hyper-relations. In: Wojciechowski, K., et al. (eds.) Computer Vision and Graphics. Int. Conference ICCVG 2004, Proceedings, pp. 141–146. Springer, The Netherlands (2004)
Kulikowski, J.L.: The role of ontological models in pattern recognition. In: Kurzynski, M., et al. (eds.) Proc. of the 4th International Conference on Computer Recognition Systems CORES? 2005, pp. 43–52. Springer, Berlin (2005)
Kulikowski, J.L.: Interpretation of medical images based on ontological models. In: Rutkowski, L., et al. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 919–924. Springer, Heidelberg (2006)
Kulikowski, J.L.: Structural image analysis based on ontological models. In: Kurzynski, M., et al. (eds.) Computer Recognition Systems, vol. 2, pp. 43–52. Springer, Berlin (2007)
Kulikowski, J.L.: Pattern Recognition driven by domain ontologies. In: Kurzynski, M., et al. (eds.) Computer Recognition Systems, vol. 3, pp. 43–52. Springer, Berlin (2009)
Kulikowski, J.L.: Logical inference based on incomplete and/or fuzzy ontologies. In: Krol, D., Nguyen, N.T. (eds.) Intelligence Integration in Distributed Knowledge Management. Information Science Reference, Hershey, ch.1, pp. 1–16 (2009)
Ogiela, M.R., Tadeusiewicz, R.: Picture languages in machine understanding of medical visualization. Machine Graphics and Vision 14(1), 71–82 (2005)
Penrose, R.: Shadows of the Mind. A Search for the Missing Science of Consciousness. Oxford University Press, Oxford (1994) (Polish translation: Zysk i S-ka Wyd. Poznan, 2000)
Tadeusiewicz, R., Ogiela, M.R.: Medical image understanding technology. Springer, Berlin (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)