Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
this. It starts with computing image gradients given a sliding window over an image. This is done in both the x and y direction. These gradients help us cut through the noise and highlight “changes” in the image i.e. edges, as shown below. Example simple images (with noise) and X & Y sliding window