Graph-based segmentation is a technique used in image processing and computer vision that partitions an image into segments by modeling it as a graph, where pixels are nodes and edges represent the similarity between them. This method efficiently captures global image properties and can adapt to different image structures by optimizing a cost function that balances intra-segment homogeneity and inter-segment heterogeneity.