Salient Region Detection Using Diffusion Process with Nonlocal Connections

doi:10.3390/app8122526

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Salient Region Detection Using Diffusion Process with Nonlocal Connections
	Luo, H. Y.; Han, G. L.; Liu, P. X.; Wu, Y. F.
刊名	Applied Sciences-Basel
	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
DOI	10.3390/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.
内容类型	期刊论文
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.