Saliency Detection through Nonlinear Metric Fusion
Zhi Xiang Yang · Advanced materials research · 2014
In order to detect the saliency part in the picture of nature scene, usually, bottom-up saliency models use several feature information such as color and orientation, each feature is taken to compute the saliency map respectively, then these saliency maps are linearly combined to a final saliency map. However, how to fuse these features are still a difficult problem, linearly combined is not appropriate to the human visual system, so in this paper we propose a nonlinear metric fusion strategy with different features namely cross diffusion, it fuse the metric from diverse features which can be used to detect the saliency more appropriate.