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contributor authorYang, Caiyun
contributor authorOhtake, Yutaka
contributor authorMoriguchi, Masaki
contributor authorSuzuki, Hiromasa
date accessioned2017-05-09T01:06:03Z
date available2017-05-09T01:06:03Z
date issued2014
identifier issn1530-9827
identifier otherjcise_014_01_011009.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154218
description abstractMesh generation from Xray computed tomography (CT) images of mechanical parts is an important consideration in industrial application, and boundary surface meshes in multimaterial parts can be extracted by generating segmented meshes from segmented images. In this paper, the authors outline a new approach for achieving segmented mesh generation. The image is first subjected to centroidal Voronoi tessellation and Delaunay tessellation steered by a density map to create a triangular mesh while maintaining discontinuities between materials. Given an input domain and a number of initial sites, the energy function is minimized automatically by iteratively updating the Voronoi tessellation and relocating sites to produce optimized domain discretization and form the mesh. Thus, the mesh in question is effectively and quickly segmented into different parts via this new graph cut method. The proposed approach is considered more efficient because there are fewer triangles than pixels, which reduces computation time and memory usage.
publisherThe American Society of Mechanical Engineers (ASME)
titleGeneration of Segmented Triangular Meshes From CT Images Based on Centroidal Voronoi Tessellation and the Graph Cut Method
typeJournal Paper
journal volume14
journal issue1
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4026292
journal fristpage11009
journal lastpage11009
identifier eissn1530-9827
treeJournal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 001
contenttypeFulltext


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