Automatic Cross-Sectioning based on 3D Field Topology Analysis

Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yuriko Takeshima, Issei Fujishiro

研究成果: Article

抜粋

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.

元の言語English
ページ(範囲)252-260
ページ数9
ジャーナルJournal of the Institute of Image Electronics Engineers of Japan
35
発行部数4
DOI
出版物ステータスPublished - 2006
外部発表Yes

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

フィンガープリント Automatic Cross-Sectioning based on 3D Field Topology Analysis' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用