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Green Image
Issue No. 10 - Oct. (2012 vol. 18)
ISSN: 1077-2626
pp: 1731-1743
Insoo Woo , Purdue University, West Lafayette
Ross Maciejewski , Arizona State University, Tempe
Kelly P. Gaither , The University of Texas at Austin, Austin
David S. Ebert , Purdue University, West Lafayette
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.
Image color analysis, Transfer functions, Feature extraction, Rendering (computer graphics), Histograms, Noise measurement, Data visualization, focus+context visualization., Direct volume rendering, transfer function

R. Maciejewski, I. Woo, K. P. Gaither and D. S. Ebert, "Feature-Driven Data Exploration for Volumetric Rendering," in IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 1731-1743, 2012.
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