Automatic Cross-Sectioning based on 3D Field Topology Analysis
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- MORI Yuki
- Department of Information Science, The University of Tokyo
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- TAKAHASHI Shigeo
- Department of Complexity Science and Engineering, The University of Tokyo
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- IGARASHI Takeo
- Department of Information Science, The University of Tokyo JST PRESTO
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- TAKESHIMA Yuriko
- Institute of Fluid Science, Tohoku University
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- FUJISHIRO Issei
- Institute of Fluid Science, Tohoku University
Bibliographic Information
- Other Title
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- ボリュームデータの位相構造に基づく自動断面生成
- ボリュームデータ ノ イソウ コウゾウ ニ モトヅク ジドウ ダンメン セイセイ
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Abstract
Cross-sectioning is one of the most commonly used methods for visualizing the complicated inner structures of three-dimensional volume datasets. However, the method usually requires a tedious trial-and-error process by users and thus often fails in finding characteristic cross-sections that capture the underlying inner structures. This paper presents a method for automatically generating characteristic cross-sections from a given volume dataset. The application of a graph structure called volume skeleton tree (VST) allows us to automatically extract such characteristic cross-sections by delineating the topological structure of the given volume. The feasibility of the proposed method is demonstrated using simulated and measured volume datasets.
Journal
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- The Journal of the Institute of Image Electronics Engineers of Japan
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The Journal of the Institute of Image Electronics Engineers of Japan 35 (4), 252-260, 2006
The Institute of Image Electronics Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204611065088
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- NII Article ID
- 10018229246
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- NII Book ID
- AN00041650
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- ISSN
- 13480316
- 02859831
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- NDL BIB ID
- 8064500
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed
