Explore edge detection techniques in image processing through this comprehensive lecture covering various methods including Prewitt, Sobel, Marr-Hildreth, and Canny edge detectors. Learn about image derivatives, Gaussian smoothing, and evaluation metrics for edge quality. Discover the principles behind detecting discontinuities in images and understand the steps involved in popular edge detection algorithms. Gain insights into the work of David Marr and John Canny, and delve into concepts such as 2-D Gaussian, zero crossings, and non-maximum suppression.