Hierarchical Exploration of Volumes Using Multilevel Segmentation of the Intensity-Gradient Histograms
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}
}
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.
October 20, 2012 by hgpu
