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2005
Springer

Automatic Cross-Sectioning Based on Topological Volume Skeletonization

12 years 3 days ago
Automatic Cross-Sectioning Based on Topological Volume Skeletonization
: Cross-sectioning is a popular method for visualizing the complicated inner structures of three-dimensional volume datasets. However, the process is usually manual, meaning that a user must manually specify the cross-section’s location using a repeated trial-and-error process. To find the best cross-sections, this method requires that a user is knowledgeable and experienced. This paper proposes a method for automatically generating characteristic cross-sections from a given volume dataset. The application of a volume skeleton tree (VST), which is a graph that delineates the topological structure of a three-dimensional volume, facilitates the automated generation of cross-sections giving good representations of the topological characteristics of a dataset. The feasibility of the proposed method is demonstrated using several examples.
Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yurik
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where SG
Authors Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yuriko Takeshima, Issei Fujishiro
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