Image Saliency Detection Based on Boundary Prior in Natural Scenes

Abstract

In order to detect saliency object accurately in natural scenes,an image saliency detection based on boundary prior in natural scenes is proposed in this paper.The original image is first segmented into a set of superpixels with similar color and texture using simple linear iterative clustering superpixel segmentation algorithm.According to the theory of boundary prior,4 boundary prior saliency maps are calculated separately.It combines them to get a coarse saliency map which separates the background and salient object roughly.The final saliency map which further highlight salient object is generated by regarding the centroid of the boundary prior saliency map as the center of salient object to compute spatial saliency.Simulation result demonstrates that this methor can uniformly highlight saliency object and effectively suppress the background in natural scenes compared with Itti algorithm,contrast based method,graph based method,etc.