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contributor authorCharlie C. Wang
date accessioned2017-05-09T00:27:16Z
date available2017-05-09T00:27:16Z
date copyrightSeptember, 2008
date issued2008
identifier issn1530-9827
identifier otherJCISB6-25993#031006_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137606
description abstractThis paper presents an approach to automatically recover mesh surfaces with sharp edges for solids from their binary volumetric discretizations (i.e., voxel models). Our method consists of three steps. The topology singularity is first eliminated on the binary grids so that a topology correct mesh M0 can be easily constructed. After that, the shape of M0 is refined, and its connectivity is iteratively optimized into Mn. The shape refinement is governed by the duplex distance fields derived from the input binary volume model. However, the refined mesh surface lacks sharp edges. Therefore, we employ an error-controlled variational shape approximation algorithm to segment Mn into nearly planar patches and then recover sharp edges by applying a novel segmentation-enhanced bilateral filter to the surface. Using the technique presented in this paper, smooth regions and sharp edges can be automatically recovered from raw binary volume models without scalar field or Hermite data Compared to other related surface recovering methods on binary volume, our algorithm needs less heuristic coefficients.
publisherThe American Society of Mechanical Engineers (ASME)
titleExtracting Manifold and Feature-Enhanced Mesh Surfaces From Binary Volumes
typeJournal Paper
journal volume8
journal issue3
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.2960489
journal fristpage31006
identifier eissn1530-9827
keywordsAlgorithms
keywordsErrors
keywordsImage segmentation
keywordsManifolds
keywordsShapes
keywordsTopology
keywordsApproximation AND Filters
treeJournal of Computing and Information Science in Engineering:;2008:;volume( 008 ):;issue: 003
contenttypeFulltext


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