CIOMP OpenIR
Salient Region Detection Using Diffusion Process with Nonlocal Connections
Luo, H. Y.; Han, G. L.; Liu, P. X.; Wu, Y. F.
2018
发表期刊Applied Sciences-Basel
ISSN2076-3417
卷号8期号:12页码:22
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.
关键词saliency detection Gaussian model diffusion process nonlocal connections object detection visual saliency Chemistry Materials Science Physics
DOI10.3390/app8122526
收录类别SCI
引用统计
文献类型期刊论文
条目标识符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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Salient Region Detec(8730KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Luo, H. Y.]的文章
[Han, G. L.]的文章
[Liu, P. X.]的文章
百度学术
百度学术中相似的文章
[Luo, H. Y.]的文章
[Han, G. L.]的文章
[Liu, P. X.]的文章
必应学术
必应学术中相似的文章
[Luo, H. Y.]的文章
[Han, G. L.]的文章
[Liu, P. X.]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Salient Region Detection Using Diffusion Proce.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。