会议专题

Scene Depth Information Based Image Saliency Detection

  Image saliency detection counts much in image processing and computer vision.Basic features like color,texture and contrast,have been adopted in the construction of saliency map.However,given a complex image,high-level features should be taken into consideration.In general,among the objects with different spatial location,humans tend to focus more on the front-most one.Hence in this paper,a novel method which is combined with scene depth information of objects in an image to detect saliency is proposed.Through this method,the front objects can be distinguished from disturbing background.Besides,we do some improvement to the existing method as well.Experimental results demonstrate that our proposed approach is more precise and effective compared with the original ones.

salient region detection complex image scene depth information

Yu-fei SUN Rui-dong TANG Shao-hui QIAN Chuan-ruo YU Yu-jin SHI Wei-yu YU

School of Electronic and Information Engineering South China University of Technology Guangzhou, P. R. China

国际会议

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

重庆

英文

229-232

2015-12-19(万方平台首次上网日期,不代表论文的发表时间)