Paper Info
Title
Cvt-Based 3d Image Segmentation For Quality Tetrahedral Meshing
Abstract
Given an input 3D image, in this paper we first segment it into several clusters by extending the 2D harmonic edge-weighted centroidal Voronoi tessellation (HEWCVT) method to the 3D image domain. The Dual Contouring method is then applied to construct tetrahedral meshes by analyzing both material change edges and interior edges. An anisotropic Giaquinta-Hildebrandt operator (GHO) based geometric flow method is developed to smooth the surface with both volume and surface features preserved. Optimization based smoothing and topological optimizations are also applied to improve the quality of tetrahedral meshes. We have verified our algorithms by applying them to several datasets.
Year
DOI
Venue
2016
10.1007/978-3-319-54609-4_2
COMPUTATIONAL MODELING OF OBJECTS PRESENTED IN IMAGES: FUNDAMENTALS, METHODS, AND APPLICATIONS, COMPIMAGE 2016
Keywords
DocType
Volume
Centroidal voronoi tessellation, Image segmentation, Tetrahedral mesh, Quality improvement, Giaquinta-Hildebrandt operator
Conference
10149
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Kangkang Hu142.42
Yongjie Zhang229334.45
Guoliang Xu322521.21