Machine vision for microscale rock deformation
For an undergraduate research project, I worked with Alejandra to automate a procedure to quantify finite strain on a microscale. On a certain surface, a sample is etched (like a microprocessor) with spaced dots. Then, on a microscope photograph, the dot positions are recorded before and after deformation. However, tracking hundreds of thousands of these dots by hand is impossible. So, I worked on an algorithm to determine the deformation function between the initial and final images by tracking the dot positions.
Identifying the centers (red) of the etched dots.