.png){kind=icon}
返回
Edge guided salient object detection
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2016.09.062.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a novel edgtae guided salient object detection algorithm. Compared to existing works where edges artae always ignored, the proposed algorithm attaches great importance to edge information and shows that edges play an irreplaceable role throughout the salient object detection process. Specifically, we derive two scales of nested superpixels from an edge guided segmentation and then calculate a coarse saliency map on the finer scale by adopting color contrast, spatial prior and boundary prior. Next, a novel background prior is proposed by measuring geodesic distance among superpixels as the accumulated edge strength. Finally, coarse saliency, background prior, and inter-scale consistency are jointly integrated into an optimization function to obtain the final saliency map. Extensive experimental results on three benchmark datasets demonstrate that the proposed saliency model consistently outperforms the state-of-the-art saliency models.
Keyword:
Saliency detection
Edge detection
Background Prior
Joint Optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
.png){kind=icon}
分享收藏
查看更多内容