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Split-and-merge segmentation using relation stable state

Te paper proposed a new segmentation method, which is based on the relation stable-state. The relation stable-state is derived from the fact that the contour of an object may be enlarged or shrunk while the threshold is changing, but times that boundary points visited by contours is more than times that inner points visited by contours. This relation is usual stable. Minimum area and edge intensity are the only two parameters needed in it. Under the control of these two parameters, it chooses contours in the original image; sums them into a contour image; extracts contours in the contour image, does merge-split process and region growing step by step. In fact, it integrated gray value, edge information and space connectivity smartly. Experiments show it can be applied to extract objects with multi-level perfectly even if the image is non-uniform illumination, thus it is more general and practical.