デローニー三角分割に基づく新しいPIV相関アルゴリズムの提案 A new cross-correlation algorithm for PIV based on Delaunay tessellation
In this paper, a new algorithm of particle identification based on Delaunay tessellation is proposed. Delaunay tessellation is a method which connects every scattered nodes to form triangles in either two-dimensional or three-dimensional space. Such a triangulation provides an essential step for spatial analysis of scattered data. Delaunay tessellation can be applied in PIV which deals with the particles in image. A new cross-correlation method for particle identification has been devised and tested by numerical simulation. Good result can be obtained.
- 可視化情報学会誌 = Journal of the Visualization Society of Japan
可視化情報学会誌 = Journal of the Visualization Society of Japan 16, 19-22, 1996-11-01
The Visualization Society of Japan