  Edge detection and image filters are commonly used in computer vision.
However, they have never been applied to the data analysis of angle-resolved
photoemission spectroscopy (ARPES) data before in a systematic fashion. In this
paper we will use the Sobel, Laplacian of a gaussian (LoG), Canny, Prewitt,
Roberts, and fuzzy logic methods for edge detection in the ARPES results of
HfP2, ZrSiS, and Hf2Te2P2. We find that the Canny filter is the best method for
edge detection of noisy data that is typical of ARPES measurements, while the
other edge detection techniques are not able to correctly detect ARPES bands.
