Salient object segmentation using a switch scheme
Ran Shi, King Ngi Ngan, Songnan Li · 2016
In this paper, we propose a novel switch scheme and a saliency map binarization method for salient object segmentation. With the proposed switch scheme, the saliency map can be segmented by different methods according to its quality, which is evaluated by a method proposed in this paper. We also develop a binarization method by integrating three properties of the salient object. This method exclusively derives information from the saliency map (i.e., without referring to the original image). Experimental results demonstrate that the proposed binarization method can generate better segmentation results and the switch scheme can further improve the segmentation results by fully exploiting the merit of both segmentation methods.