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Salient Representation of Volume Data

  • Conference paper
Data Visualization 2001

Part of the book series: Eurographics ((EUROGRAPH))

Abstract

We introduce a novel method for identification of objects of interest in volume data. Our approach conveys the information contained in two essentially different concepts, the object’s boundaries and the narrow solid structures, in an easy and uniform way. The second order derivative operators in directions reaching minimal response are employed for this task. To show the superior performance of our method, we provide a comparison with its main competitor—surface extraction from areas of maximal gradient magnitude. We show that our approach provides the possibility to represent volume data by a subset of a nominal size.

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Author information

Authors and Affiliations

  1. Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria

    Jirí Hladůvka, Andreas König & Eduard Gröller

Authors
  1. Jirí Hladůvka
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  2. Andreas König
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  3. Eduard Gröller
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Editor information

Editors and Affiliations

  1. School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA

    David S. Ebert

  2. Data Mining & Visualization, CSCS, Manno, Switzerland

    Jean M. Favre

  3. Institut für wissenschaftliches Rechnen, ETH-Zentrum, IFW, Zürich, Switzerland

    Ronald Peikert

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© 2001 Springer-Verlag Wien

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Hladůvka, J., König, A., Gröller, E. (2001). Salient Representation of Volume Data. In: Ebert, D.S., Favre, J.M., Peikert, R. (eds) Data Visualization 2001. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6215-6_22

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  • DOI: https://doi.org/10.1007/978-3-7091-6215-6_22

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83674-3

  • Online ISBN: 978-3-7091-6215-6

  • eBook Packages: Springer Book Archive

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