Automated Fringe Detection and Counting

Location:

-

Instructor:

Junjie TANG

Instructions:

In this experiment, we utilize computer graphics techniques to automate the analysis of video
captured from a Michelson Interferometer. By leveraging Python and OpenCV, the goal is
to accurately count the number of fringes in the video. This process involves reading the
video, performing background subtraction, detecting contours, and applying morphological
operations to isolate and count the light spots efficiently.

Requirement:

Python3

Manual:

Automated Fringe Detection and Counting