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Journal of Electronic Imaging

Maximizing image variance in rendering of volumetric data sets
Author(s): Bjoern Olstad
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Paper Abstract

An algorithm is presented for rendering of volumetric data sets. The aim of the algorithm is to maximize the image variance in a volumetric rendering where a three-dimensional data set is projected onto a view plane through the perspective mapping. The pixel values in the rendered image are associated with a variable size attribute vector extracted along a line in the volumetric data set. Several algorithms are presented for transforming this variable size attribute vector into a fixed size attribute vector. The fixed size attribute vectors provide a multispectral image representation, which is processed with the Karhunen-Loève transformation in order to separate the information content into orthogonal components that are ordered according to the associated eigenvalues. The components in the Karhunen-Loève transform can be displayed individually as intensity images or three components can be selected and mapped into a coloring scheme such as the hue-saturation-value color model.

Paper Details

Date Published: 1 July 1992
PDF: 10 pages
J. Electron. Imaging. 1(3) doi: 10.1117/12.60032
Published in: Journal of Electronic Imaging Volume 1, Issue 3
Show Author Affiliations
Bjoern Olstad, Univ. of Trondheim (Norway)


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