Enhancing Visualization with Frequency-based Transfer Functions

Erald Vuçini, Meister Eduard Gröller
Enhancing Visualization with Frequency-based Transfer Functions
186-2-09-01, May 2009 [ ] [ image]
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Replaced by vucini-2011.

Abstract

Transfer functions have a crucial role in the understanding and visualization of 3D data in the spatial domain. While exhaustive research has scrutinized the possible uses of one or multi-dimensional transfer functions in the visualization of the data in the spatial domain, to our knowledge no attempt has been done in the exploration of the use of transfer functions in the frequency domain. In this work we propose the use of transfer functions for the purpose of frequency analysis and visualization of 3D data. Frequency-based transfer functions offer the possibility to discriminate signals composed from different frequencies, to analyze problems related to signal processing, and to help understanding the link between the modulation of specific frequencies and their impact on the spatial domain. We demonstrate the strength of our technique by applying the frequency-based transfer function to synthetic and real-world medical data. The interactivity of the proposed framework allows the creation of complex filters and can also be used for structure or feature enhancement.

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@techreport{TR-186-2-09-01,
  title =      "Enhancing Visualization with Frequency-based Transfer
               Functions",
  author =     "Erald  Vu{\c c}ini and Meister Eduard Gr{\"o}ller",
  year =       "2009",
  abstract =   "Transfer functions have a crucial role in the understanding
               and visualization of 3D data in the spatial domain. While
               exhaustive research has scrutinized the possible uses of one
               or multi-dimensional transfer functions in the visualization
               of the data in the spatial domain, to our knowledge no
               attempt has been done in the exploration of the use of
               transfer functions in the frequency domain. In this work we
               propose the use of transfer functions for the purpose of
               frequency analysis and visualization of 3D data.
               Frequency-based transfer functions offer the possibility to
               discriminate signals composed from different frequencies, to
               analyze problems related to signal processing, and to help
               understanding the link between the modulation of specific
               frequencies and their impact on the spatial domain. We
               demonstrate the strength of our technique by applying the
               frequency-based transfer function to synthetic and
               real-world medical data. The interactivity of the proposed
               framework allows the creation of complex filters and can
               also be used for structure or feature enhancement.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  month =      may,
  number =     "186-2-09-01",
  keywords =   "Data Enhancement, Frequency Analysis, Transfer Function",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/",
}