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Gradient Magnitude vs. Feature Size: Comparing 2D Histograms for Transfer Function Specification

Wesarg, Stefan and Kirschner, Matthias (2009):
Gradient Magnitude vs. Feature Size: Comparing 2D Histograms for Transfer Function Specification.
pp. 115-119, ACM, New York, CGI 2009, [Conference or Workshop Item]

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 and Kirschner, Matthias
Title: Gradient Magnitude vs. Feature Size: Comparing 2D Histograms for Transfer Function Specification
Language: English
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.

Publisher: ACM, New York
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
Event Title: CGI 2009
Date Deposited: 12 Nov 2018 11:16
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