Edge detection and Corner detection are two of the most basic feature detection algorithms, and are very useful ones too. Having information about the edges in an image can be of great help in applications, where you want to find boundaries of different objects in an image, or you need to find corners in an image when you want to analyze how an object rotates or moves in a given sequence of images (or videos). In this section, we will take a look at the techniques and implementations of various Edge and Corner detection algorithms, such as Difference of Gaussian, Canny Edge detector, Sobel Operator, and Harris Corners.
Let's start with the easiest and the most rudimentary technique. Before we understand how Difference of Gaussian (DoG) works, let's take a look at what exactly edges are. To put it simply, edges are points in an image where the pixel intensity changes appreciably. We will exploit this property of edges and by applying...