| Autor: |
Ip CY; Institute for Advanced Computer Studies, University of Maryland, College Park, USA. ipcy@cs.umd.edu, Varshney A, JaJa J |
| Jazyk: |
angličtina |
| Zdroj: |
IEEE transactions on visualization and computer graphics [IEEE Trans Vis Comput Graph] 2012 Dec; Vol. 18 (12), pp. 2355-63. |
| DOI: |
10.1109/TVCG.2012.231 |
| Abstrakt: |
Visual exploration of volumetric datasets to discover the embedded features and spatial structures is a challenging and tedious task. In this paper we present a semi-automatic approach to this problem that works by visually segmenting the intensity-gradient 2D histogram of a volumetric dataset into an exploration hierarchy. Our approach mimics user exploration behavior by analyzing the histogram with the normalized-cut multilevel segmentation technique. Unlike previous work in this area, our technique segments the histogram into a reasonable set of intuitive components that are mutually exclusive and collectively exhaustive. We use information-theoretic measures of the volumetric data segments to guide the exploration. This provides a data-driven coarse-to-fine hierarchy for a user to interactively navigate the volume in a meaningful manner. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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