Salient Representation of Volume Data

Hladuvka, Jiri; König, Andreas; Gröller, Eduard

Salient Representation of Volume Data

Files

203-212.pdf (881.41 KB)

Date

2001

Authors

Hladuvka, Jiri
König, Andreas
Gröller, Eduard

Publisher

The Eurographics Association

Abstract

We introduce a novel method for identification of objects of interest in volume data. Our approach conveys the information contained in two essentially different concepts, the object s boundaries and the narrow solid structures, in an easy and uniform way. The second order derivative operators in directions reaching minimal response are employed for this task. To show the superior performance of our method, we provide a comparison with its main competitor surface extraction from areas of maximal gradient magnitude. We show that our approach provides the possibility to represent volume data by a subset of a nominal size.

        @inproceedings{:10.2312/VisSym/VisSym01/203-212
,
booktitle = {Eurographics / IEEE VGTC Symposium on Visualization
},
editor = {David S. Ebert and Jean M. Favre and Ronald Peikert
},
title = {{Salient Representation of Volume Data
}},
author = {Hladuvka, Jiri and 
König, Andreas and 
Gröller, Eduard
},
year = {2001
},
publisher = {The Eurographics Association
},
ISSN = {1727-5296
},
ISBN = {3-211-83674-8
},
DOI = {/10.2312/VisSym/VisSym01/203-212
}
}