Research on video vibration measurement based on fast two-dimensional empirical mode decomposition and Hilbert transform

Honglei Du; Zhi Zhong

doi:10.1117/12.3001022

9 August 2023 Research on video vibration measurement based on fast two-dimensional empirical mode decomposition and Hilbert transform

Honglei Du, Zhi Zhong

Author Affiliations +

Proceedings Volume 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023); 127821F (2023) https://doi.org/10.1117/12.3001022
Event: Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Against the poor noise immunity of the vibration measurement algorithm based on video phase, this paper proposes an algorithm based on enhanced fast empirical mode decomposition and Hilbert phase-based motion estimation (EFEMD-HPME). EFEMD decomposes the multicomponent video image into a single-component image, and then the local phase information of single component image is extracted through Hilbert transform, which has superior noise immunity compared with the spectral decomposition technique of the band-pass filter. Experiments show that the algorithm proposed in this article has a signal-to-noise ratio improvement of about 30% and a relative error of less than 0.5% compared with the HPME, which is of great significance for improving the robustness of video vibration measurement in general measurement environments.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Honglei Du and Zhi Zhong "Research on video vibration measurement based on fast two-dimensional empirical mode decomposition and Hilbert transform", Proc. SPIE 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 127821F (9 August 2023); https://doi.org/10.1117/12.3001022

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KEYWORDS

Video

Vibration

Signal to noise ratio

Vibrometry

Tunable filters

Bandpass filters

Modal decomposition

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