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author:

Peng, Y. (Peng, Y..) [1] | Chen, Y. (Chen, Y..) [2] | Huang, B. (Huang, B..) [3]

Indexed by:

Scopus

Abstract:

Region segmentation involves in breaking a polygonal mesh into 'meaningful' patches with characteristic geometrical property respectively. Considering the characteristics of nonuniformity, sparseness and known facet normal for STL model from CAD system, an efficient approach for region segmentation is put forward. The algorithm contains two steps: extracting region boundaries and segmenting regional meshes. Region boundaries are classified into sharp feature edge and non-sharp feature edge. The former is detected based on dihedral edge angle (angle between facets), while the latter is identified by analysing intrinsic region properties of triangular facets distribution without curvature estimation. By means of unidirectional increment of feature edges, continuous region boundaries are generated. Finally, we withdraw "meaningful" patches from STL model based on advancing front algorithm depending on the boundaries. Examples are given to show the feature edges detection, boundaries generation and region segmentation based on the boundaries. Copyright © 2015 Inderscience Enterprises Ltd.

Keyword:

Advancing front; CAD; Feature boundary; Region segmentation; Triangular mesh

Community:

  • [ 1 ] [Peng, Y.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Chen, Y.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Huang, B.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address:

  • [Peng, Y.]School of Mechanical Engineering and Automation, Fuzhou UniversityChina

Email:

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Source :

International Journal of Sensor Networks

ISSN: 1748-1279

Year: 2015

Issue: 1

Volume: 19

Page: 62-68

0 . 4 5 4

JCR@2015

1 . 1 0 0

JCR@2023

ESI HC Threshold:175

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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