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