Image segmentation is a fundamental task in computer vision that involves dividing an image into distinct regions or objects. This process is typically used to extract important information from images, such as identifying and separating objects of interest in medical images or satellite images. Image segmentation algorithms use various techniques such as edge detection, region growing, clustering, and deep learning to partition an image into segments based on similarities in color, texture, or intensity. This segmentation is essential for tasks such as object detection, image recognition, and image editing.