The image segmentation is considered one of the most popular pre-processing in image processing and computer vision. It aims to partition the image into different regions which have the same properties such as color, texture, shape, and others. There are several image segmentation methods proposed to achieve this task, which include the traditional and other global methods. In this chapter, we present a review of the most popular three image segmentation methods called clustering, edge, region growing. In addition, the advantage and limitations of each method is discussed with some recommendation to be used these methods in future works are given.