In this paper, we propose a segmentation system based on the normalized cut framework proposed by Shi and Malik (1997). The goal is to partition the image from a big picture point of view. Perceptually significant groups are detected first while small variations and details are treated later. Different image features - intensity, color, texture, contour continuity, motion and stereo disparity are treated in one uniform framework.