Work

Sub-Pixel Displacement Measurement with Swin Transformer: A Three-Level Classification Approach

Year: 2025

Type: article

Abstract: In order to avoid the dependence of traditional sub-pixel displacement methods on interpolation method calculation, image gradient calculation, initial value estimation and iterative calculation, a Swin Transformer-based sub-pixel displacement measurement method (ST-SDM) is proposed, and a square dataset expansion method is also proposed to rapidly expand the training dataset. The ST-SDM computes sub-pixel displacement values of different scales through three-level classification tasks, and solves the problem of positive and negative displacement with the rotation relative tag value method. The accuracy of the ST-SDM is verified by simulation experiments, and its robustness is verified by real rigid body experiments. The experimental results show that the ST-SDM model has higher accuracy and higher efficiency than the comparison algorithm.

Source: Applied Sciences

DOI: 10.3390/app15052868

Authors: Yongxing Lin, Xiaoyan Xu, Zhixin Tie

Institutions: Zhejiang Sci-Tech University, Zhejiang University of Science and Technology, Keyi College of Zhejiang Sci-Tech University

Language: English

Topic: Optical measurement and interference techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,896

Funder: Zhejiang Sci-Tech University