Feature extraction and iconic visualization

Author

van Walsum, Theo ; Post, Frits H. ; Silver, Deborah ; Post, Frank J.

Author_Institution

Dept. of Diagnostic Radiol., Leiden Univ. Hospital, Netherlands

Volume

2

Issue

2

fYear

1996

fDate

6/1/1996 12:00:00 AM

Firstpage

111

Lastpage

119

Abstract

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

Keywords

data visualisation; feature extraction; graphical user interfaces; visual languages; attribute sets; compact abstraction; conceptual framework; dataset; feature extraction; generic techniques; icon parameters; iconic visualization; modeling language; process model; symbolic parametric objects; visualization process; Computer Society; Data mining; Data visualization; Feature extraction; Geometry; Image processing; Laboratories; Mathematics; Radiology; Silver;

fLanguage

English

Journal_Title

Visualization and Computer Graphics, IEEE Transactions on

Publisher

ieee

ISSN

1077-2626

Type

jour

DOI

10.1109/2945.506223

Filename

506223