Paper
1 July 2013 Comparison of different image recognition methods for characterization of micro-gyroscopes
Sun Wei, Ting Yin, Xin Kang, Xiao-Yuan He
Author Affiliations +
Proceedings Volume 8769, International Conference on Optics in Precision Engineering and Nanotechnology (icOPEN2013); 87693Z (2013) https://doi.org/10.1117/12.2018478
Event: International Conference on Optics in Precision Engineering and Nanotechnology (icOPEN2013), 2013, Singapore, Singapore
Abstract
In order to have an efficient design methodology and achieve high-performance inertial instruments, it is important to analyze the dynamic characteristics of micromechanical vibratory gyroscopes. In this paper, a novel optical method based on a high-speed CMOS camera and different image recognition methods is developed to measure the translational motion of the sensitive elements. Experimental results show that digital image correlation (DIC) in the spatial domain is more accurate for determination of small displacements while quite time-consuming, and the mode of addition, subtraction or multiplication of spectrum images is much faster and provide more accurate results for determination of large displacements. Due to the edge features of images, the edge detection method based on wavelet is also proposed to calculate the displacements. This technique is quite fast and its precision is moderate. Accordingly, the combination of different image recognition methods will be more suitable for dynamic displacement measurements which require both high accuracy and high speed.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sun Wei, Ting Yin, Xin Kang, and Xiao-Yuan He "Comparison of different image recognition methods for characterization of micro-gyroscopes", Proc. SPIE 8769, International Conference on Optics in Precision Engineering and Nanotechnology (icOPEN2013), 87693Z (1 July 2013); https://doi.org/10.1117/12.2018478
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KEYWORDS
Digital image correlation

Continuous wavelet transforms

Gyroscopes

Wavelets

Edge detection

Image processing

CMOS cameras

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