Traditional Graph cuts algorithm can effectively extract the foreground of cartoon images, but satisfactory results are not achieved for natural scene images. In order to improve the performance of foreground extraction, this paper proposes the foreground extraction model based on multiscale smoothing, which combines segmentation and multiscale feature to extract foreground from appropriate scale features. The total variation edge preserved smoothing model is used to smooth the image, which preserves the edges and reduces the inhomogeneity of the image, finally, improves the performance of foreground extraction. Experimental results shown that the multiscale smoothing based foreground extraction model decreases the negative effect of inhomogeneous regions on foreground extraction, and the evaluation scores are higher than those of the traditional Graph cuts algorithm.
