Abstract: Aiming at the incompleteness of the salient region and the background interference in the existing saliency detectionmethod, we propose a method based on the spatial domain.Firstly,we segment the input image into superpixels.Then,we use the color and intensity information of the superpixel image to get the difference salient image and the visual center.Next,according to the position relation of the superpixel seeds and the visual center,we can get the spatial weight.Finally,we combine the saliency value of each superpixel with its spatial weight to calculate the saliency map.Compared with the existing algorithms,our method can obtain more accurate and complete information of salient region and object edge,eliminate the background interference,and improve the detection accuracy.