This document discusses different types of edge detectors used in digital image processing. It describes three types of edges - horizontal, vertical, and diagonal - and explains that edge detection identifies regions of discontinuity in an image. Several first-order gradient-based operators are covered, including Sobel, Prewitt, and Robert operators, as well as gaussian-based operators like the Laplacian of Gaussian and Canny edge detector. The Sobel, Prewitt, and Robert operators use kernels to calculate horizontal and vertical derivative approximations to detect edges. The Laplacian of Gaussian uses the second derivative and zero-crossing method. The Canny operator is an optimal technique that is not susceptible to noise.