Wesarg, Stefan ; Kirschner, Matthias (2009)
Gradient Magnitude vs. Feature Size: Comparing 2D Histograms for Transfer Function Specification.
CGI 2009.
Conference or Workshop Item, Bibliographie
Abstract
Transfer function (TF) specification for 3D visualization can be improved by incorporating more than just intensity information. Gradient magnitude is an additional property that has been used predominantly for defining TFs based on 2D histograms. Recently, feature size has been introduced as an alternative. In this work we compare the usability of such 2D histograms for the visualization of 3D scalar data. By giving visualization examples for well-known volume data sets we conclude that employing feature size for TF specification is more intuitive than gradient magnitude based approaches.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2009 |
| Creators: | Wesarg, Stefan ; Kirschner, Matthias |
| Type of entry: | Bibliographie |
| Title: | Gradient Magnitude vs. Feature Size: Comparing 2D Histograms for Transfer Function Specification |
| Language: | English |
| Date: | 2009 |
| Publisher: | ACM, New York |
| Event Title: | CGI 2009 |
| Abstract: | Transfer function (TF) specification for 3D visualization can be improved by incorporating more than just intensity information. Gradient magnitude is an additional property that has been used predominantly for defining TFs based on 2D histograms. Recently, feature size has been introduced as an alternative. In this work we compare the usability of such 2D histograms for the visualization of 3D scalar data. By giving visualization examples for well-known volume data sets we conclude that employing feature size for TF specification is more intuitive than gradient magnitude based approaches. |
| Uncontrolled Keywords: | Forschungsgruppe Medical Computing (MECO), Image generation, Feature measurements, Transfer functions, Histograms |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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