Image segmentation algorithms such as edge detection, line detection, and point detection are included. 3.1 Edge-based segmentation - In many image processing applications, edges play a very important role. They provide an outline of the object. An edge is a set of connected pixels that lies on the boundary between two regions that differ in gray value. Those pixels are known as Edge points which are located on the edge. An edge is usually extracted by computing the derivative of the image function. To identify discontinuities in the image, edges are detected. By identifying the pixel value and then comparing it to neighboring pixels, the edges of the region can be drawn. To classify it, they use both fixed and adaptive functionality of Support Vector Machine (SVM). The detected edges do not need to be closed in this edge-based segmentation. There are various edge detectors used to segment the image. The disposition of an object is given by the edges which are the discontinuities in the sense of intensity. All objects in the image are tracked when intensities are calculated