A New Method of Data Smoothing for Scan-Line Point Cloud in Reverse Engineering

Ping Zhao; Xue Wei Bai; Yong Kui Li; Ying Li; Chang Yi Lv

doi:10.4028/www.scientific.net/AMR.1006-1007.352

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1006-1007A New Method of Data Smoothing for Scan-Line Point...

A New Method of Data Smoothing for Scan-Line Point Cloud in Reverse Engineering

Abstract:

Based on summarizing characteristics of three common kinds of filter method (median filter, mean filter and Gaussian filter) through theory analysis and experiments in Imageware software, a more effective method of smoothing point cloud data was proposed, and the algorithm was realized by programming in MATLAB. Experimental results show that the proposed method combines the advantages of the median filter and mean filter in together, achieves the purpose of smoothing, also ensures the shape of the original data. This research result will lay a foundation for subsequent reconstruction precision of curved surface.

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Periodical:

Advanced Materials Research (Volumes 1006-1007)

Pages:

352-355

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.352

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Online since:

August 2014

Authors:

Ping Zhao*, Xue Wei Bai, Yong Kui Li, Ying Li, Chang Yi Lv

Keywords:

Bionics, Data Processing, Filtering, Reverse Engineering, Smoothing and De-Noising

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* - Corresponding Author

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