Image segmentation using minimal graph cuts

We present a novel technique for simultaneous segmentation and classification of image partitions using graph cuts. By combining existing image segmentation approaches with simple learning techniques we manage to include prior knowledge into this visual grouping process. This has resulted in an method that partitions images into two parts based on previously seen example segmentations. Preliminary results are also presented in support of our suggested approach