CASIA OpenIR  > 09年以前成果
Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection
Cai, Huiwen1; Wang, Xiaoyan2; Xia, Ming2; Wang, Yangsheng1
Source PublicationMATHEMATICAL PROBLEMS IN ENGINEERING
2012
SubtypeArticle
AbstractMaximally stable extremal regions (MSER) is a state-of-the-art method in local feature detection. However, this method is sensitive to blurring because, in blurred images, the intensity values in region boundary will vary more slowly, and this will undermine the stability criterion that the MSER relies on. In this paper, we propose a method to improve MSER, making it more robust to image blurring. To find back the regions missed by MSER in the blurred image, we utilize the fact that the entropy of probability distribution function of intensity values increases rapidly when the local region expands across the boundary, while the entropy in the central part remains small. We use the entropy averaged by the regional area as a measure to reestimate regions missed by MSER. Experiments show that, when dealing with blurred images, the proposed method has better performance than the original MSER, with little extra computational effort.
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
WOS KeywordSCALE
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Mathematics
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000310308900001
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10745
Collection09年以前成果
Affiliation1.Chinese Acad Sci, Inst Automat, Digital Interact Media Lab, Beijing 100190, Peoples R China
2.Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310023, Zhejiang, Peoples R China
Recommended Citation
GB/T 7714
Cai, Huiwen,Wang, Xiaoyan,Xia, Ming,et al. Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2012.
APA Cai, Huiwen,Wang, Xiaoyan,Xia, Ming,&Wang, Yangsheng.(2012).Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection.MATHEMATICAL PROBLEMS IN ENGINEERING.
MLA Cai, Huiwen,et al."Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection".MATHEMATICAL PROBLEMS IN ENGINEERING (2012).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cai, Huiwen]'s Articles
[Wang, Xiaoyan]'s Articles
[Xia, Ming]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cai, Huiwen]'s Articles
[Wang, Xiaoyan]'s Articles
[Xia, Ming]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cai, Huiwen]'s Articles
[Wang, Xiaoyan]'s Articles
[Xia, Ming]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.