关键词: 显著目标检测, 显著性, 背景先验, 区域对比度

Abstract: Existing algorithms are less effective in detecting images with complex background. A novel salient detection algorithm is proposed by using region contrast and background prior. Firstly, the image is segmented into perceptually homogeneous patches. Then region contrast is employed to obtain global contrast and spatial distribution maps. And then, background prior is adopted to compute the similarity between the patches and background. Finally three feature maps are fused into a saliency map based on superpixels. To better exploit each pixel’s color and position information, the fused saliency map is refined. Experiments on two popular benchmark datasets demonstrate that the proposed approach can uniformly highlight the salient object and effectively suppress the background.

Key words: salient object detection, saliency, background prior, region contrast