Abstract:In order to better represent infrared target feature under different environm ents,a novel saliency detection method based on local feature and global feature is proposed .Firstly,based on the image superpixels,the contrast feature of every region is extracted by weigh ting its spatial distance in the neighbor,and at the same time,considering the influence of size and position of every region,the local saliency map is constructed.Then the global feature of every region is extracted by weighting its spatial distance in the whole image and the global sa liency map is obtained.Finally,the saliency detection result of infrared image is obtained b y fusing the local and global saliency maps.The experimental results show that the saliency map of the proposed method has complete target feature,obvious edges and good background suppressio n,and the novel method is also better than state of the art methods both qualitatively and quantitatively.