114
Views
18
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLES

Automatic segmentation of digitized data for reverse engineering applications

, &
Pages 59-69 | Received 01 Apr 1997, Accepted 01 Jan 1999, Published online: 30 May 2007

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (7)

Zhaohui Geng, Arman Sabbaghi & Bopaya Bidanda. (2023) Reconstructing original design: Process planning for reverse engineering. IISE Transactions 55:5, pages 509-522.
Read now
Zhaohui Geng, Arman Sabbaghi & Bopaya Bidanda. (2022) A framework of tolerance specification for freeform point clouds and capability analysis for reverse engineering processes. International Journal of Production Research 60:24, pages 7475-7491.
Read now
Jack Szu-Shen Chen & Hsi-Yung Feng. (2014) Automatic prismatic feature segmentation of scanning-derived meshes utilising mean curvature histograms. Virtual and Physical Prototyping 9:1, pages 45-61.
Read now
Kuang-Hua Chang & Chienchih Chen. (2011) 3D Shape Engineering and Design Parameterization. Computer-Aided Design and Applications 8:5, pages 681-692.
Read now
Marjan Korošec, Jože Duhovnik & Janez Kopač. (2010) Neural Network Based Quality Increase Of Surface Roughness Results In Free Form Machining. Automatika 51:1, pages 71-78.
Read now
A Durupt, S. Remy, G. Ducellier & B. Eynard. (2008) From a 3D point cloud to an engineering CAD model: a knowledge-product-based approach for reverse engineering. Virtual and Physical Prototyping 3:2, pages 51-59.
Read now
Yin Zhongwei & Jiang Shouwei. (2003) Automatic segmentation and approximation of digitized data for reverse engineering. International Journal of Production Research 41:13, pages 3045-3058.
Read now

Articles from other publishers (11)

Shanhui Zhang, Wei Wei & Wei Wu. (2022) Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing. Computational Intelligence and Neuroscience 2022, pages 1-13.
Crossref
P. Minetola, L. Iuliano & F. Calignano. (2015) A customer oriented methodology for reverse engineering software selection in the computer aided inspection scenario. Computers in Industry 67, pages 54-71.
Crossref
Gheorghe Nagit & Andrei Marius Mihalache. (2013) Alternative Method for Segmenting Digitized Data in Reverse Engineering. Applied Mechanics and Materials 371, pages 463-467.
Crossref
Xueming He, Chenggang Li, Yujin Hu, Rong Zhang, Simon X. Yang & Gauri S. Mittal. (2009) Automatic sequence of 3D point data for surface fitting using neural networks. Computers & Industrial Engineering 57:1, pages 408-418.
Crossref
Guixia Zhou, Guolin Duan, Huibo Wu & Tao Yao. (2008) Green Remanufacturing Engineering in Structural Machinery Based on Reverse Engineering. Green Remanufacturing Engineering in Structural Machinery Based on Reverse Engineering.
Marjan Korosec & Janez Kopac. (2008) Improved surface roughness as a result of free-form surface machining using self-organized neural network. Journal of Materials Processing Technology 204:1-3, pages 94-102.
Crossref
Frank Fueten & Jeffrey Mason. (2007) An artificial neural net assisted approach to editing edges in petrographic images collected with the rotating polarizer stage. Computers & Geosciences 33:9, pages 1176-1188.
Crossref
Yinling Ke, Shuqian Fan, Weidong Zhu, An Li, Fengshan Liu & Xiquan Shi. (2006) Feature-based reverse modeling strategies. Computer-Aided Design 38:5, pages 485-506.
Crossref
Yin Zhongwei & Jiang Shouwei. (2004) Iso-phote based adaptive surface fitting to digitized points and its applications in region-based tool path generation, slicing and surface triangulation. Computers in Industry 55:1, pages 15-28.
Crossref
Ju Hua, Wang Wen, Xie Jin & Chen Zi-chen. (2004) Neural network approach for modification and fitting of digitized data in reverse engineering. Journal of Zhejiang University-SCIENCE A 5:1, pages 75-80.
Crossref
D.L. Page, Y. Sun, A.F. Koschan, J. Paik & M.A. Abidi. (2002) Normal Vector Voting: Crease Detection and Curvature Estimation on Large, Noisy Meshes. Graphical Models 64:3-4, pages 199-229.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.