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Proceedings Paper

Research on dimensional measurement method of mechanical parts based on stereo vision
Author(s): Zhuoyun Zhou; Xuewu Zhang; Haodong Shen; Zhuo Zhang; Xinnan Fan
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Paper Abstract

This paper researches on the key and difficult issues in stereo measurement deeply, including camera calibration, feature extraction, stereo matching and depth computation, and then put forwards a novel matching method combined the seed region growing and SIFT feature matching. It first uses SIFT characteristics as matching criteria for feature points matching, and then takes the feature points as seed points for region growing to get better depth information. Experiments are conducted to validate the efficiency of the proposed method using standard matching graphs, and then the proposed method is applied to dimensional measurement of mechanical parts. The results show that the measurement error is less than 0.5mm for medium sized mechanical parts, which can meet the demands of precision measurement.

Paper Details

Date Published: 8 October 2015
PDF: 15 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96750Q (8 October 2015); doi: 10.1117/12.2197848
Show Author Affiliations
Zhuoyun Zhou, Hohai Univ. (China)
Xuewu Zhang, Hohai Univ. (China)
Haodong Shen, Hohai Univ. (China)
Zhuo Zhang, Hohai Univ. (China)
Xinnan Fan, Hohai Univ. (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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