Graph cuts are a method used in computer vision and image processing to segment an image into different regions by modeling the image as a graph and finding the optimal way to partition it. The technique involves minimizing a cost function that represents the sum of the weights of the edges that are cut, balancing the trade-off between the similarity within segments and the dissimilarity between them.