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Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China



These authors contributed equally to this work.





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Academic Editor: Vittorio M. N. Passaro

Abstract The development of image sensor and optics enables the application of vision-based techniques to the non-contact dynamic vibration analysis of large-scale structures. As an emerging technology, a vision-based approach allows for remote measuring and does not bring any additional mass to the measuring object compared with traditional contact measurements. In this study, a high-speed vision-based sensor system is developed to extract structure vibration signals in real time. A fast motion extraction algorithm is required for this system because the maximum sampling frequency of the charge-coupled device CCD sensor can reach up to 1000 Hz. Two efficient subpixel level motion extraction algorithms, namely the modified Taylor approximation refinement algorithm and the localization refinement algorithm, are integrated into the proposed vision sensor. Quantitative analysis shows that both of the two modified algorithms are at least five times faster than conventional upsampled cross-correlation approaches and achieve satisfactory error performance. The practicability of the developed sensor is evaluated by an experiment in a laboratory environment and a field test. Experimental results indicate that the developed high-speed vision-based sensor system can extract accurate dynamic structure vibration signals by tracking either artificial targets or natural features. View Full-Text

Keywords: vision-based measurement; high-speed camera system; image registration; phase correlation; subpixel accuracy improvement vision-based measurement; high-speed camera system; image registration; phase correlation; subpixel accuracy improvement





Autor: Dashan Zhang †, Jie Guo †, Xiujun Lei and Changan Zhu *

Fuente: http://mdpi.com/



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