The effect of image segmentation is directly affected by the selection of image dependent weight coefficient and the edge stopping function in the traditional method of adaptive distance preserving level set evolution. For its shortage, a novel adaptive varying stopping function Region-based is designed. The algorithm improves image dependent weight coefficient and designs a region-based method of adaptive distance preserving level set evolution. Experimental results show that the method effectively solves the problem that the level set cannot continue to evolve in equal area for gray value and inaccurate segmentation of target due to dramatic change of image gradient reduces noise sensitivity for model and improves robustness of the algorithm.