Saliency detection method for probabilistic hypergraph ranking based on local features
Gao Fan, Chaoyang Wang, Xiao‐Gang Yang, Ruitao Lu, Chuang Liu, Tao Zhang · 2021 IEEE 3rd International Conference on Frontiers Technology of Information and Computer (ICFTIC) · 2021
The saliency detection algorithm achieves object detection by acquiring salient regions in an image. We propose a saliency detection algorithm based on probabilistic hypergraph ranking of local features. Firstly, a probabilistic hypergraph structure based on spatial location is constructed based on the connectivity of background nodes, and the background saliency map is built using the ranking algorithm; Secondly, according to the clustering of foreground nodes, a probabilistic hypergraph based on feature clustering is constructed, and the foreground saliency map is realized using the ranking; Finally, the background and foreground saliency map are fused to obtain the saliency detection results. The simulation experiment results show that the detection accuracy of the algorithm we proposed is higher.