Automatic Cross-Sectioning based on 3D Field Topology Analysis

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

研究成果: Article


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.

ジャーナルJournal of the Institute of Image Electronics Engineers of Japan
出版物ステータスPublished - 2006

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

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