The difference of Gaussian (DoG) is a technique used in image processing to detect edges and other image features. It involves convolving an image with two Gaussian filters with different standard deviations and then subtracting the result. The DoG filter highlights areas where the image intensity changes rapidly, making it useful for detecting edges and other sharp transitions.
