Image Strain and Shear Strain Analysis

Resource Overview

Digital Image Correlation (DIC) methods enable deformation processing of images to compute strain and shear strain measurements through feature-based registration, interpolation techniques, and gradient calculations.

Detailed Documentation

This document introduces Digital Image Correlation (DIC) methods designed to process image deformation and calculate both strain and shear strain measurements. These techniques incorporate feature point matching algorithms for image registration, interpolation-based image deformation methods (such as bilinear or bicubic interpolation), and strain computation approaches derived from image gradient calculations using operators like Sobel or Scharr filters. Implementation typically involves key functions such as detectSURFFeatures() for feature detection, imwarp() for deformation processing, and imgradient() for gradient extraction. Through these methods, we can comprehensively analyze image deformation patterns, providing accurate data foundations for subsequent image processing and computer vision applications including structural analysis and material testing.