Semantic Segmentation Using Regions in Natural Scenes
Wu SL(吴士林); Zhu F(朱枫); Hao YM(郝颖明)
2011
会议名称2011 International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2011)
会议日期August 12-14, 2011
会议地点Harbin
页码1884-1887
中文摘要By introducing an over-segmentation algorithm into the conditional model (CM), we propose a new region-based CM model (R-CM), and investigate its performance on semantic segmentation of images. In order to incorporate structure information of objects, we segment an image into regions by using an over-segmentation algorithm. Based on the results of CM model, we first consider assigning all pixels in one region with the same label, and then other feature potentials are included to counteract the influence of false over-segmentation. We compare our results to related work on the Olive & Torralba database and show that aside from improved accuracy of the whole database, our model obtains a perceptual improvement, with boundary of different objects correctly labeled.
收录类别EI
产权排序1
会议主办者IEEE Harbin Sect.
会议录2011 International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2011)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-61284-087-1
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/8021]  
专题沈阳自动化研究所_光电信息技术研究室
推荐引用方式
GB/T 7714
Wu SL,Zhu F,Hao YM. Semantic Segmentation Using Regions in Natural Scenes[C]. 见:2011 International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2011). Harbin. August 12-14, 2011.
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