Salient region detection based on local and global

	Salient region detection based on local and global
	Peng Wang; Zhi Zhou; Wei Liu; Hong Qiao
	2014
会议名称	Proceedings - IEEE International Conference on Robotics and Automation ·
会议录名称	IEEE International Conference on Robotics & Automation (ICRA)
会议日期	May 31 - June 7, 2014
会议地点	Hong Kong Convention and Exhibition Center
摘要	Abstract—a new and effective salient region detection method based on local and global saliency information is proposed. To keep the completeness of salient regions, the input image is segmented into several regions firstly. Then for each region, local saliency and global saliency are generated respectively. The local saliency is computed by multi-scale neighborhood contrast, and the global saliency is measured according to global spatial distribution and inter-region isolation of features. Based on the local saliency and global saliency, the final saliency can be obtained by the weighted combination of them. The comparison experiment results demonstrate the effective performance of the proposed algorithm on salient region detection.
关键词	None
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13003
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
通讯作者	Peng Wang
推荐引用方式 GB/T 7714	Peng Wang,Zhi Zhou,Wei Liu,et al. Salient region detection based on local and global[C],2014.