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Proceedings Paper

Evaluation of effective resolution of machine vision measurement systems based on variance and correlation analysis
Author(s): Yu Ji; Yuekang Shan; Ming Zhou; Rong Xiang; Zhi Zhang
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Paper Abstract

As a measurement system, the most essential variable of a machine vision measurement system is effective resolution. So far the analysis and evaluation of effective resolution of measurement systems are qualitative. In this paper, a quantitative evaluation method is presented bases on analysis of variance (ANOVA) and correlation analysis. Using this method, effective resolution of a machine vision measurement system can be calculated fleetly. An online evaluation system which bases on this method is introduced.

Paper Details

Date Published: 19 May 2006
PDF: 6 pages
Proc. SPIE 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 61501E (19 May 2006); doi: 10.1117/12.676526
Show Author Affiliations
Yu Ji, China Jiliang Univ. (China)
Yuekang Shan, China Jiliang Univ. (China)
Ming Zhou, China Jiliang Univ. (China)
Rong Xiang, China Jiliang Univ. (China)
Zhi Zhang, China Jiliang Univ. (China)
Univ. of Shanghai for Technology (China)


Published in SPIE Proceedings Vol. 6150:
2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Xun Hou; Jiahu Yuan; James C. Wyant; Hexin Wang; Sen Han, Editor(s)

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