Gradient-based Classification and Representation of Features from Volume Data

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• Publication Type: Conference Paper
• Date (from): 14 October 2011
• Date (to): 16 October 2011
• Editor: Editura Universitaria Craiova (EUC)
• ISSN: 2068-0465
• Lecturer: Marius Gavrilescu
• Location: Sinaia, Romania

@inproceedings\{Groeller_2011_GBC,
  title =      "Gradient-based Classification and Representation of Features
               from Volume Data",
  author =     "Marius Gavrilescu and Vasile Manta and Meister Eduard
               Gr{\"o}ller",
  year =       "2011",
  abstract =   "The extraction and representation of information from volume
               data are important research avenues in computer-based
               visualization. The interpretation of three- or
               multi-dimensional data from various scanning devices is
               important to medical imaging, diagnosis and treatment,
               reliability and sustainability analyses in various
               industrial branches, and, in more general terms, information
               visualization. In this paper, we present several approaches
               for the classification and representation of relevant
               information from volume data sets. The techniques are based
               on the gradient vector, a property directly derived from the
               original volume data. We show how this property can be
               computed and subsequently used for classification through
               gradient-based one- and multi-dimensional transfer
               functions, as well as for the enhancement of surface
               features. The described techniques are illustrated through
               images generated using our volume rendering framework, from
               Computed Tomography (CT) and Magnetic Resonance Imaging
               (MRI) data sets. The resulting images show how
               gradient-based techniques are suited for improved volume
               classification and the better extraction of meaningful
               information.",
  pages =      "243--248",
  month =      oct,
  booktitle =  "Proceedings of 15th International Conference on System
               Theory, Control and computing (ICSTCC 2011)",
  editor =     "Editura Universitaria Craiova (EUC)",
  issn =       "2068-0465",
  location =   "Sinaia, Romania",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_GBC/",
}