Fast salient object detection based on segments. Measuring Technology and Mechatronics Automation

Abstract—In this paper we propose a novel salient object de-tection algorithm based on segments, named SODS (Salient Object Detection based on Segments). We first segment an input image, and then extract a set of features including multi-scale contrast, center-surround histogram, and color spatial distribution based on segments to describe a salient object locally, regionally, and globally. These three features are then combined linearly to get a saliency map to rep-resent the salient object. We validate our approach on two public datasets. Experimental results prove that our method is much faster, more robust and accurate than ex-isting salient object detection methods. Keywords—Salient object detection, Visual attention, Segment I