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Proceedings Paper

Automatic measurement method of two-dimensional complex geometric features
Author(s): Boxia He; Yong He; Fu-long Ren; Rong Xue
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Paper Abstract

To realize automatic measurement of two-dimensional complex geometric features on parts with high-precision, the characteristics and advantages of five types of machine vision measurement methods are analyzed. The technological challenges that each method faces in dealing with high-precise automatic measurement of complex geometric features are indicated. To solve the problem, a machine vision measurement method with cooperation of multi field of view, which has a hierarchical structure, is proposed. Its principle and procedures are introduced. The experimental results show that the relative error is less than 0.025% using the method to gauge conventional scale parts. Its outstanding advantage is that the measuring accuracy is NOT influenced by ambient temperature and the precision of machine systems compared with traditional CMM. Therefore, it is an effective method that can be applied in industrial spot to automatically measure normal and large scale two-dimensional complex geometric characteristics with high-precision.

Paper Details

Date Published: 31 January 2013
PDF: 7 pages
Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 87592D (31 January 2013); doi: 10.1117/12.2015272
Show Author Affiliations
Boxia He, Nanjing Univ. of Science and Technology (China)
Yong He, Nanjing Univ. of Science and Technology (China)
Fu-long Ren, Nanjing Univ. of Science and Technology (China)
Rong Xue, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8759:
Eighth International Symposium on Precision Engineering Measurement and Instrumentation
Jie Lin, Editor(s)

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