Paper
26 January 2016 Computer vision-based swing center testing method for flexible joint
Xian Wang, Jian-ping Tan, Qian-cheng Zhao, Qi-hui Ling
Author Affiliations +
Proceedings Volume 9903, Seventh International Symposium on Precision Mechanical Measurements; 990320 (2016) https://doi.org/10.1117/12.2214285
Event: Seventh International Symposium on Precision Mechanical Measurements, 2015, Xia'men, China
Abstract
In view of the faults of traditional method, a computer vision-based swing center testing method for flexible joint was presented. The first step is to obtain original measurement date by a single industrial camera continuously capturing images of two circular marks which were fixed in the swinging object. The second step is to achieve stable and accurate multi-feature extraction in complex environment by a circular feature extraction method presented by our research group. And the final step is to obtain test results through the markers center coordinate and the swing center computing model. The experimental results indicate that the peak value (PV) error of this method is 1.6mm. This method is effective and it is better than traditional testing methods.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xian Wang, Jian-ping Tan, Qian-cheng Zhao, and Qi-hui Ling "Computer vision-based swing center testing method for flexible joint", Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 990320 (26 January 2016); https://doi.org/10.1117/12.2214285
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KEYWORDS
Testing and analysis

Computing systems

Feature extraction

Photovoltaics

Image processing

Error analysis

Image sensors

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