On Histograms and Isosurface Statistics

Author

Carr, Hamish ; Duffy, Brian ; Denby, Bruce

Author_Institution

Univ. Coll. Dublin

Volume

12

Issue

5

fYear

2006

Firstpage

1259

Lastpage

1266

Abstract

In this paper, we show that histograms represent spatial function distributions with a nearest neighbour interpolation. We confirm that this results in systematic underrepresentation of transitional features of the data, and provide new insight why this occurs. We further show that isosurface statistics, which use higher quality interpolation, give better representations of the function distribution. We also use our experimentally collected isosurface statistics to resolve some questions as to the formal complexity of isosurfaces

Keywords

data visualisation; interpolation; mathematics computing; statistical analysis; surface fitting; histograms; isosurface statistics; nearest neighbour interpolation; spatial function distributions; Biomedical imaging; Data visualization; Filters; Histograms; Image reconstruction; Interpolation; Isosurfaces; Spatial resolution; Statistical distributions; Statistics; histograms; isosurface statistics; isosurfaces; Algorithms; Computer Graphics; Computer Simulation; Data Interpretation, Statistical; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Models, Statistical; User-Computer Interface;

fLanguage

English

Journal_Title

Visualization and Computer Graphics, IEEE Transactions on

Publisher

ieee

ISSN

1077-2626

Type

jour

DOI

10.1109/TVCG.2006.168

Filename

4015490