• DocumentCode
    1436412
  • Title

    Feature-Driven Data Exploration for Volumetric Rendering

  • Author

    Woo, Insoo ; Maciejewski, Ross ; Gaither, Kelly P. ; Ebert, David S.

  • Author_Institution
    Purdue University, West Lafayette
  • Volume
    18
  • Issue
    10
  • fYear
    2012
  • Firstpage
    1731
  • Lastpage
    1743
  • Abstract
    We have developed an intuitive method to semiautomatically explore volumetric data in a focus-region-guided or value-driven way using a user-defined ray through the 3D volume and contour lines in the region of interest. After selecting a point of interest from a 2D perspective, which defines a ray through the 3D volume, our method provides analytical tools to assist in narrowing the region of interest to a desired set of features. Feature layers are identified in a 1D scalar value profile with the ray and are used to define default rendering parameters, such as color and opacity mappings, and locate the center of the region of interest. Contour lines are generated based on the feature layer level sets within interactively selected slices of the focus region. Finally, we utilize feature-preserving filters and demonstrate the applicability of our scheme to noisy data.
  • Keywords
    Data visualization; Feature extraction; Histograms; Image color analysis; Noise measurement; Rendering (computer graphics); Transfer functions; Direct volume rendering; focus+context visualization.; transfer function; Algorithms; Computer Graphics; Computer Simulation; Diagnostic Imaging; Humans; Image Processing, Computer-Assisted; Tornadoes;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2012.24
  • Filename
    6143934