Graph Cut is a method used in computer vision and image processing to segment images into distinct regions. It represents an image as a graph, where pixels are nodes connected by edges that represent the similarity between them. By cutting the graph, we can separate different segments, such as foreground and background, based on their characteristics. The process involves assigning weights to the edges, which reflect the cost of cutting them. The goal is to find the minimum cut that divides the graph into two parts, optimizing the segmentation. This technique is widely used in applications like image editing, object recognition, and medical imaging.