A machine learning approach that automates region selection, mesh refinement, and subset splitting near complex sample edges for improved DIC analysis efficiency.
Key Features:
- SAM2-based automatic ROI detection from speckle images
- Adaptive mesh generation near complex boundaries
- Eliminates manual ROI definition in DIC workflows
Publication: Machine Learning-Aided Spatial Adaptation for Improved DIC Analysis of Complex Geometries, Strain, 2026