Saliency Detection via Boundary Prior and Center Prior

Abstract

In this paper, we present a salient object detection algorithm that based on boundary prior and center prior.First, according to the principle of boundary prior, we construct the Boundary-based map by means of colour distinction.Second, we used colour and location cues to receive the Centre-based map, which based on center prior hypothesis.Then, we exploit the Centre-Bayes map within the Bayesian framework.Finally, we integrated Boundary-based map and Centre-Bayes map into the final saliency map that combined with each features and advantages.Comparing with sixteen methods, experimental results on seven datasets show that our proposed algorithm achieves favourable results in terms of the precision and recall, f-measure and MAE.