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 give an overview of the object. An edge is a set of connected pixels that lie at the boundary between two regions that differ in gray value. These pixels are called edge points which lie on the edge. An edge is usually extracted by calculating the derivative of the image function. To identify discontinuities in the image, edges are detected. By identifying the pixel value and then comparing it with neighboring pixels, the edges of the region can be drawn. To classify this, they use both fixed and adaptive features of Support Vector Machine (SVM). It is not necessary for the detected edges to be closed in this edge-based segmentation. There are different edge detectors used to segment the image. A layout of an object is given by the edges which are the discontinuities in the sense of intensity. All objects in the image are traced when intensities are calculated