A new construction of an image edge detection mask based on Caputo–Fabrizio fractional derivative

In recent years, the research on image processing based on fractional calculus has attracted much attention. In this work, we proposed a new way to construct an image edge detection mask based on the fractional-order derivative using the Caputo–Fabrizio formulation. The proposed mask was experimented on a large dataset of natural images in both noiseless and noisy situations. In comparison with both classical and fractional edge detectors, the achieved results demonstrated the advantageous performances of the proposed edge detector.