Yan, W.-J., Feng, Z.-Q., Yang, W. and Yuen, K.-V. (2022) Bayesian Inference for the Dynamic Properties of Long-Span Bridges under Vortex-Induced Vibration with Scanlan’s Model and Dense Optical Flow Scheme. Mechanical Systems and Signal Processing, 174, Article ID: 109078.
https://doi.org/10.1016/j.ymssp.2022.109078

has been cited by the following article:

• TITLE: Phase-Based Optical Flow Method with Optimized Parameter Settings for Enhancing Displacement Measurement Adaptability

  AUTHORS: Zhaoxin Peng, Menglian Liu, Zhiliang Wang, Wei Liu, Xian Wang

  KEYWORDS: Displacement Measurement, Phase-Based Optical Flow, Optimized Parameter Setting

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.14 No.5, May 6, 2024

  ABSTRACT: To enhance the applicability and measurement accuracy of phase-based optical flow method using complex steerable pyramids in structural displacement measurement engineering applications, an improved method of optimizing parameter settings is proposed. The optimized parameters include the best measurement points of the Region of Interest (ROI) and the levels of pyramid filters. Additionally, to address the issue of updating reference frames in practical applications due to the difficulty in estimating the maximum effective measurement value, a mechanism for dynamically updating reference frames is introduced. Experimental results demonstrate that compared to representative image gradient-based displacement measurement methods, the proposed method exhibits higher measurement accuracy in engineering applications. This provides reliable data support for structural damage identification research based on vibration signals and is expected to broaden the engineering application prospects for structural health monitoring.