计算机工程与应用2016，Vol.52Issue(21)：36-41,6.DOI:10.3778/j.issn.1002-8331.1604-0025
基于区域对比度和背景先验的显著目标检测
Salient object detection based upon region contrast and background prior
摘要
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 uni-formly highlight the salient object and effectively suppress the background.关键词
显著目标检测/显著性/背景先验/区域对比度Key words
salient object detection/saliency/background prior/region contrast分类
信息技术与安全科学引用本文复制引用
张晴,林家骏,石艳娇..基于区域对比度和背景先验的显著目标检测[J].计算机工程与应用,2016,52(21):36-41,6.基金项目
国家自然科学基金（No.61401281）；上海市自然科学基金（No.14ZR1440700）。 （）
