Image marking of the region of interest is an important research topic in image processing in recent years. The combination of low and middle levels can ensure the result has both of their information. First, we get the middle-level coarse saliency map by using the boosting Harris to make a convex hall and superpixels clustered by GBR. And then we weight different Gaussian filters to get the low-level saliency map. The final saliency map is combinated by middle-level saliency map and low-level saliency map. Experiments on the public databases coming from Microsoft Research Asia show that the proposed algorithm performs better than state-of-art algorithms not only on subjective evaluation but also on objective evaluation, and it is effective at the eliminate of background noise and outstanding at making the saliency regions high light.