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European Workshop on Advances in Case-Based Reasoning

EWCBR 2000: Advances in Case-Based Reasoning pp 479–490Cite as

CBR-Based Ultra Sonic Image Interpretation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1898))

Abstract

The existing image interpretation systems lack robustness and accuracy. They cannot adapt to changing environmental conditions or to new objects. The application of machine learning to image interpretation is the next logical step. Our proposed approach aims at the development of dedicated machine learning techniques at all levels of image interpretation in a systematic fashion. In this paper we propose a system which uses Case-Based Reasoning (CBR) to optimize image segmentation at the low level according to changing image acquisition conditions and image quality. The intermediate-level unit extracts the case representation used by the high-level unit for further processing. At the high level, CBR is employed to dynamically adapt image interpretation.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Vision and Applied Computer Sciences, Arno-Nitzsche-Str. 45, 04277, Leipzig, Germany

    Petra Perner

Authors
  1. Petra Perner
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Editor information

Editors and Affiliations

  1. Centre for Scientific and Technological Research (ITC-irst), Istituto Trention di Cultura, via Sommarive 18, 38050, Povo (Trento), Italy

    Enrico Blanzieri

  2. DISTA, University of Eastern Piedmont “Amedeo Avogadro”, C.so Borsalino 54, 15100, Alessandria, Italy

    Luigi Portinale

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© 2000 Springer-Verlag Berlin Heidelberg

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Perner, P. (2000). CBR-Based Ultra Sonic Image Interpretation. In: Blanzieri, E., Portinale, L. (eds) Advances in Case-Based Reasoning. EWCBR 2000. Lecture Notes in Computer Science, vol 1898. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44527-7_41

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  • DOI: https://doi.org/10.1007/3-540-44527-7_41

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67933-2

  • Online ISBN: 978-3-540-44527-2

  • eBook Packages: Springer Book Archive

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