Graph-Based Segmentation

Graph-Based Segmentation is a technique for dividing an image into meaningful parts by representing it as a graph. In this graph, each pixel or group of pixels is a node, and edges connect neighboring nodes, with weights indicating their similarity (such as color or texture). The algorithm then partitions this graph into segments by cutting the connections that have the weakest similarities, effectively separating the image into regions that are more uniform internally. This method helps in tasks like object detection and scene understanding by clearly delineating different objects or areas within an image.