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Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection
Joint Authors
Cai, Huiwen
Xia, Ming
Wang, Yangsheng
Wang, Xiaoyan
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Maximally 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.
American Psychological Association (APA)
Cai, Huiwen& Wang, Xiaoyan& Xia, Ming& Wang, Yangsheng. 2012. Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-1029805
Modern Language Association (MLA)
Cai, Huiwen…[et al.]. Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection. Mathematical Problems in Engineering No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-1029805
American Medical Association (AMA)
Cai, Huiwen& Wang, Xiaoyan& Xia, Ming& Wang, Yangsheng. Entropy-Based Maximally Stable Extremal Regions for Robust Feature Detection. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-1029805
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029805