A Phase Correlation Anti-Noise Displacement Estimation Method Based on PSD Phase Screening
Source abstract
Abstract
When using digital images to obtain the displacement of a structure, noise is always a factor that greatly affects the accuracy of the displacement results. To overcome this problem, a phase-correlation improvement method, based on phase filtering by phase standard deviation (PSD), is proposed. We use PSD to remove the severe noise interference area in the cross-power spectrum matrix, then the singular value decomposition (SVD) is used to convert the two-dimensional phase to one-dimensional to reduce the difficulty of phase unwrapping. Finally, straight-line fitting is used to obtain the high-precision displacement results. Experiments were carried out using both simulated data and real data. For the simulated data, the absolute accuracy of the proposed method is around 0.3 pixels, while, for the real data, the absolute accuracy of the proposed method is 0.018 mm. The experimental results show that the method can effectively resist noise interference and still obtain accurate displacement estimation results in the case of severe noise.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Optical measurement and interference techniques · Structural Health Monitoring Techniques · Image Processing Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
National Engineering Laboratory for High Speed Railway Construction, Changsha 410075, China
Funding
National Natural Science Foundation of China · Department of Education of Hunan Province · Hunan Province Key Laboratory of Key Technologies for Water Power Resource Development · Science and Technology Research and Development Program Project of China Railway Group Limited
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