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Optimization of Triangulations Based on Serial Fault Data

Optimization of Triangulations Based on Serial Fault Data
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摘要 Three-dimensional reconstructions based on serial fault data can be divided into boundary contour splicing and end contour closure. In boundary contour splicing, the Delaunay triangulation algorithm can generate long, narrow triangles or radial shapes and with end contour closure, the Delaunay triangulation based on the determination of the convex-concave vertices tends to generate long, narrow triangles and triangles whose sizes differ greatly, and in some cases failure. This paper presents a Delaunay triangulation algorithm based on the shortest distance first principle for boundary contour splicing and an improved algorithm which combines Delaunay triangulation based on the determination of convex-concave vertices with interpolation for end contour closure. The results show that the algorithms retain the original advantages of the algorithms while increasing the triangulation effectiveness and enhancing the universality of the algorithms. Three-dimensional reconstructions based on serial fault data can be divided into boundary contour splicing and end contour closure. In boundary contour splicing, the Delaunay triangulation algorithm can generate long, narrow triangles or radial shapes and with end contour closure, the Delaunay triangulation based on the determination of the convex-concave vertices tends to generate long, narrow triangles and triangles whose sizes differ greatly, and in some cases failure. This paper presents a Delaunay triangulation algorithm based on the shortest distance first principle for boundary contour splicing and an improved algorithm which combines Delaunay triangulation based on the determination of convex-concave vertices with interpolation for end contour closure. The results show that the algorithms retain the original advantages of the algorithms while increasing the triangulation effectiveness and enhancing the universality of the algorithms.
作者 杨晓冬 刘鹏
出处 《Tsinghua Science and Technology》 SCIE EI CAS 2009年第S1期38-42,共5页 清华大学学报(自然科学版(英文版)
基金 Supported by the Science and Technology Foundation of Heilong-jiang Province (No.WC05C02) the Science Research Foundation of Harbin Institute of Technology (No. HIT.2003.22)
关键词 computed tomography (CT) data Delaunay triangulation surface reconstruction boundary contour end contour computed tomography (CT) data Delaunay triangulation surface reconstruction boundary contour end contour
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