Salient Representation of Volume Data

Information

• Publication Type: Technical Report
• Workgroup(s)/Project(s): not specified
• Date: December 2000
• Number: TR-186-2-00-26
• Keywords: Gradient vector, Hessian matrix, Feature Extraction, Sufrace Extraction, Volume Rendering

Abstract

We introduce a novel approach for identification of objects of interest in volume data. Our approach tries to convey 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 involved for this task. To show the superior performance of our method, we provide a comparison to its main competitor -- surface extraction from areas of maximal gradient magnitude. We show that our approach provides the possibility to represent volume data by its subset of a nominal size.

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BibTeX

@techreport{Hladuvka-2000-Exp,
  title =      "Salient Representation of Volume Data",
  author =     "Ji\v{r}\'{i} Hlad\r{u}vka and Eduard Gr\"{o}ller",
  year =       "2000",
  abstract =   "We introduce a novel approach for identification of objects
               of interest in volume data. Our approach tries to convey 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
               involved for this task. To show the superior performance of
               our method, we provide a comparison to its main competitor
               -- surface extraction from areas of maximal gradient
               magnitude. We show that our approach provides the
               possibility to represent volume data by its subset          
                     of a nominal size.",
  month =      dec,
  number =     "TR-186-2-00-26",
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  keywords =   "Gradient vector, Hessian matrix, Feature Extraction, Sufrace
               Extraction, Volume Rendering",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2000/Hladuvka-2000-Exp/",
}