1 July 1992 Maximizing image variance in rendering of volumetric data sets
Author Affiliations +
J. of Electronic Imaging, 1(3), (1992). doi:10.1117/12.60032
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.
Bjoern Olstad, "Maximizing image variance in rendering of volumetric data sets," Journal of Electronic Imaging 1(3), (1 July 1992). http://dx.doi.org/10.1117/12.60032
JOURNAL ARTICLE
10 PAGES


SHARE
KEYWORDS
Principal component analysis

RGB color model

Ultrasonics

Associative arrays

Error analysis

Volume rendering

Image processing

RELATED CONTENT


Back to Top