Interactive multi-scale exploration for volume classification

Eric B. Lum, James Shearer, Kwan-Liu Ma

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Filter banks are a class of signal processing techniques that can be used to reveal the local energy of a signal at multiple scales. Utilizing such filtering allows us to consider local texture and other data characteristics, and permits volume classification and visualization that cannot be accomplished easily using conventional, transfer function-based methods. Our filter bank approach increases the dimensionality, and thus, the complexity of the classification task. We have therefore developed an interactive user interface for specifying and visualizing these higher dimensional classifiers, which enables volume data exploration and visualization in a filter-bank space. We demonstrate that this technique is particularly effective for the classification of noisy data, and for classifying regions that are difficult to approach using conventional methods.

Original languageEnglish (US)
Pages (from-to)622-630
Number of pages9
JournalVisual Computer
Volume22
Issue number9-11
DOIs
StatePublished - Sep 1 2006

Keywords

  • Classification
  • Filter banks
  • Hardware acceleration
  • Interface design
  • Scale-space filtering
  • Transfer functions
  • Visualization
  • Volume rendering

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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