CORC  > 山东大学
Coarse-to-Fine Saliency Detection Based on Non-Subsampled Contourlet Transform Enhancement [基于非下采样轮廓小波变换增强的从粗到精的显著性检测]
Liu D.; Chang F.
刊名Guangxue Xuebao/Acta Optica Sinica
2019
卷号39期号:1
关键词Machine vision Non-subsampled contourlet transform Nonlinear gain Retinex Saliency detection
DOI10.3788/AOS201939.0115003
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4538770
专题山东大学
作者单位1.School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China
2.School of Control Science and Engi
推荐引用方式
GB/T 7714
Liu D.,Chang F.. Coarse-to-Fine Saliency Detection Based on Non-Subsampled Contourlet Transform Enhancement [基于非下采样轮廓小波变换增强的从粗到精的显著性检测][J]. Guangxue Xuebao/Acta Optica Sinica,2019,39(1).
APA Liu D.,&Chang F..(2019).Coarse-to-Fine Saliency Detection Based on Non-Subsampled Contourlet Transform Enhancement [基于非下采样轮廓小波变换增强的从粗到精的显著性检测].Guangxue Xuebao/Acta Optica Sinica,39(1).
MLA Liu D.,et al."Coarse-to-Fine Saliency Detection Based on Non-Subsampled Contourlet Transform Enhancement [基于非下采样轮廓小波变换增强的从粗到精的显著性检测]".Guangxue Xuebao/Acta Optica Sinica 39.1(2019).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
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。


©版权所有 ©2017 CSpace - Powered by CSpace