Salient region detection based on local and global
Peng Wang; Zhi Zhou; Wei Liu; Hong Qiao
Conference NameProceedings - IEEE International Conference on Robotics and Automation ·
Source PublicationIEEE International Conference on Robotics & Automation (ICRA)
Conference DateMay 31 - June 7, 2014
Conference PlaceHong Kong Convention and Exhibition Center
AbstractAbstract—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.
Document Type会议论文
Corresponding AuthorPeng Wang
Recommended Citation
GB/T 7714
Peng Wang,Zhi Zhou,Wei Liu,et al. Salient region detection based on local and global[C],2014.
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