I have seen a lot of videos online which talk about getting Fourier descriptors from (x,y) points by using a Discrete Fourier Transform, and then using some of these Fourier descriptors to reconstruct the approximate boundary. This approximation would have the same number of (x,y) points as the original image, but less Fourier descriptors would be used to create the reconstruction. However, while I see the theory of this being discussed a lot, I can't find any coding examples in Python of this process online. I would really appreciate it if someone has an example of Python code which takes the (x,y) points and computes a DFT to get the Fourier descriptors, and then uses some of these descriptors to reconstruct an approximate boundary. Thanks!
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