Feature extraction and iconic visualization

Theo Van Walsum, Frits H. Post, Deborah Silver, Frank J. Post

Research output: Contribution to journalArticlepeer-review

51 Scopus citations


We present a conceptual framework and a process model for feature extraction and iconic visualization. The features are regions of interest extracted from a dataset. They are represented by attribute sets, which play a key role in the visualization process. These attribute sets are mapped to icons, or symbolic parametric objects, for visualization. The features provide a compact abstraction of the original data, and the icons are a natural way to visualize them. We present generic techniques to extract features and to calculate attribute sets, and describe a simple but powerful modeling language which was developed to create icons and to link the attributes to the icon parameters. We present illustrative examples of iconic visualization created with the techniques described, showing the effectiveness of this approach.

Original languageEnglish (US)
Pages (from-to)111-119
Number of pages9
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number2
StatePublished - 1996
Externally publishedYes

All Science Journal Classification (ASJC) codes

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


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