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Structural Image Analysis Based on Ontological Models

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Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

Abstract

A concept of structural image analysis and interpretation based on superrelations and on ontological models is presented. The system of image interpretation should contain the structural analysis (SA), ontological models (OM) and semantic relationships (SR) modules. The role of modules is described. The proposed approach is illustrated by an example of cardiac USG images interpretation.

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Author information

Authors and Affiliations

  1. Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Ks. Trojdena Str. 4, 02-109, Warsaw, Poland

    Juliusz L. Kulikowski

Authors
  1. Juliusz L. Kulikowski
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Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzynski , Edward Puchala , Michal Wozniak  & Andrzej Zolnierek , ,  & 

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© 2007 Springer-Verlag Berlin Heidelberg

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Kulikowski, J.L. (2007). Structural Image Analysis Based on Ontological Models. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_9

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  • DOI: https://doi.org/10.1007/978-3-540-75175-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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