Salient object detection based on novel graph model

摘要

In this paper, we present a salient object detection method based on novel graph structure. Given image is segmented into small image regions as basic units, we firstly construct an effective background-based map, each image region's saliency value is determined by its feature contrast with the image boundary. Then, saliency propagation mechanism is used to update all regions' saliency values by introducing a novel graph structure to better exploit the relationship between adjacent image regions. Finally, we propose an optimization method to further highlight salient objects and suppress background noises. Experimental results demonstrate adequately the superiority of proposed approach. (C) 2019 Elsevier Inc. All rights reserved.