SIA OpenIR  > 光电信息技术研究室
DSIM: A DisSIMilarity-based image clutter metric for targeting performance
Xu DJ(徐德江); Shi ZL(史泽林)
作者部门光电信息技术研究室
关键词Image Clutter Metric Signal-to-clutter Ratio (Scr) Dissimilarity Metric (Dsim) Human Vision Perceptual Dissimilarity Measure (Vpdm) Brain Cognitive Dissimilarity Measure (Bcdm)
发表期刊IEEE Transactions on Image Processing
ISSN1057-7149
2013
卷号22期号:10页码:4108-4122
收录类别SCI ; EI
EI收录号20133916769263
WOS记录号WOS:000324385200032
产权排序1
摘要Previous image clutter metrics were proposed on the thought that clutter was just a perceptual effect, while we identify clutter as both perceptual and cognitive effects. Under this identification, we give a new definition of image clutter metric by analyzing the research results in the fields of visual psychology and psychophysics. According to the definition, we further put forward a DisSIMilarity (DSIM) based image clutter metric, which can also be taken as a kind of HVS-based signal-to-clutter ratio. The earlier image clutter metrics produced limited success in predicting targeting performance mainly since they did not consider brain cognitive characteristics. We develop a brain cognitive dissimilarity measure (BCDM) as a quantitative estimate of the selection weights which are allocated by brain attentional mechanism to affect visual selection processes. A human vision perceptual dissimilarity measure (VPDM), fully embodying vision perceptual properties, is first established between the target and clutter images, and then we utilize the BCDM between the two images as selection weights to pool the VPDM to be a clutter metric, which can be called DSIM metric. The metric is tested in Search-2 dataset provided by TNO Human Factors Research Institute of Netherlands. Error analysis and correlation tests demonstrate that the DSIM metric makes a more significant improvement than previously proposed metrics in predicting 62 observers' targeting performances including detection probability, false alarm probability and search time.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
关键词[WOS]STRUCTURAL SIMILARITY ; DETECTION PROBABILITY ; QUALITY ASSESSMENT ; INFRARED IMAGES ; SEARCH ; INFORMATION ; SYSTEMS ; RECOGNITION ; ACQUISITION ; ATTENTION
WOS研究方向Computer Science ; Engineering
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/12526
专题光电信息技术研究室
通讯作者Xu DJ(徐德江)
作者单位1.Graduate University of Chinese Academy of Sciences, Beijing 10049, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 100081, China
推荐引用方式
GB/T 7714
Xu DJ,Shi ZL. DSIM: A DisSIMilarity-based image clutter metric for targeting performance[J]. IEEE Transactions on Image Processing,2013,22(10):4108-4122.
APA Xu DJ,&Shi ZL.(2013).DSIM: A DisSIMilarity-based image clutter metric for targeting performance.IEEE Transactions on Image Processing,22(10),4108-4122.
MLA Xu DJ,et al."DSIM: A DisSIMilarity-based image clutter metric for targeting performance".IEEE Transactions on Image Processing 22.10(2013):4108-4122.
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
DSIM_A DisSIMilarity(1868KB)期刊论文作者接受稿开放获取ODC PDDL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
[Xu DJ(徐德江)]的文章
[Shi ZL(史泽林)]的文章
百度学术
百度学术中相似的文章
[Xu DJ(徐德江)]的文章
[Shi ZL(史泽林)]的文章
必应学术
必应学术中相似的文章
[Xu DJ(徐德江)]的文章
[Shi ZL(史泽林)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: DSIM_A DisSIMilarity-based Image Clutter Metric for Targeting Performance.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。