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Hierarchical Exploration of Volumes Using Multilevel Segmentation of the Intensity-Gradient Histograms

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3 Author(s)
Cheuk Yiu Ip ; Inst. for Adv. Comput. Studies, Univ. of Maryland, College Park, MD, USA ; Varshney, A. ; JaJa, J.

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.

Published in:

Visualization and Computer Graphics, IEEE Transactions on  (Volume:18 ,  Issue: 12 )

Date of Publication:

Dec. 2012

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