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

Cheuk Yiu Ip
Institute for Advanced Computer Studies, University of Maryland, College Park
IEEE Transactions on Visualization and Computer Graphics, Vol.18 , Issue 12, p.2355-2363, 2012

@article{ip2012hierarchical,

   title={Hierarchical Exploration of Volumes Using Multilevel Segmentation of the Intensity-Gradient Histograms},

   author={Ip, C.Y. and Varshney, A. and JaJa, J.},

   journal={Visualization and Computer Graphics, IEEE Transactions on},

   volume={18},

   number={12},

   pages={2355–2363},

   year={2012},

   publisher={IEEE}

}

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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 intensitygradient 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.
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