中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Salient Region Detection Using Diffusion Process with Nonlocal Connections

文献类型:期刊论文

作者Luo, H. Y.; Han, G. L.; Liu, P. X.; Wu, Y. F.
刊名Applied Sciences-Basel
出版日期2018
卷号8期号:12页码:22
关键词saliency detection Gaussian model diffusion process nonlocal connections object detection visual saliency Chemistry Materials Science Physics
ISSN号2076-3417
DOI10.3390/app8122526
英文摘要Diffusion-based salient region detection methods have gained great popularity. In most diffusion-based methods, the saliency values are ranked on 2-layer neighborhood graph by connecting each node to its neighboring nodes and the nodes sharing common boundaries with its neighboring nodes. However, only considering the local relevance between neighbors, the salient region may be heterogeneous and even wrongly suppressed, especially when the features of salient object are diverse. In order to address the issue, we present an effective saliency detection method using diffusing process on the graph with nonlocal connections. First, a saliency-biased Gaussian model is used to refine the saliency map based on the compactness cue, and then, the saliency information of compactness is diffused on 2-layer sparse graph with nonlocal connections. Second, we obtain the contrast of each superpixel by restricting the reference region to the background. Similarly, a saliency-biased Gaussian refinement model is generated and the saliency information based on the uniqueness cue is propagated on the 2-layer sparse graph. We linearly integrate the initial saliency maps based on the compactness and uniqueness cues due to the complementarity to each other. Finally, to obtain a highlighted and homogeneous saliency map, a single-layer updating and multi-layer integrating scheme is presented. Comprehensive experiments on four benchmark datasets demonstrate that the proposed method performs better in terms of various evaluation metrics.
源URL[http://ir.ciomp.ac.cn/handle/181722/60800]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Luo, H. Y.,Han, G. L.,Liu, P. X.,et al. Salient Region Detection Using Diffusion Process with Nonlocal Connections[J]. Applied Sciences-Basel,2018,8(12):22.
APA Luo, H. Y.,Han, G. L.,Liu, P. X.,&Wu, Y. F..(2018).Salient Region Detection Using Diffusion Process with Nonlocal Connections.Applied Sciences-Basel,8(12),22.
MLA Luo, H. Y.,et al."Salient Region Detection Using Diffusion Process with Nonlocal Connections".Applied Sciences-Basel 8.12(2018):22.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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