Precision displacement measurement via sampling moiré method with advanced image stabilization

Aging infrastructure poses significant challenges for modern society and imposes substantial burdens in assessing and managing health conditions worldwide. Vision-based displacement measurement has gained considerable research interest due to its cost efficiency and high precision. This study focuses on enhancing vision-based methods in scenarios where camera motion occurs during image capture. We propose a novel approach for precise camera motion compensation, enabling accurate measurement of true structural displacements. Utilizing the sampling moiré method with sub-pixel accuracy of 1/100, we establish a robust foundation for high-precision motion compensation and displacement analysis. A novel two-stage processing framework is introduced to effectively eliminate camera-induced motion while preserving actual displacement data. To validate our method, we systematically design and conduct experiments analyzing key parameters for image stabilization, demonstrating the effectiveness of our approach through comprehensive comparisons.