Local covariant region detection based on image contour corner
In this paper, a local covariant region detection algorithm is proposed based on image contour corners. We define the corner response function as the DoB (Difference of B-spline) norm of the evolution difference of the image contour. A new feature region detection algorithm is designed combining cor...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/84766 http://hdl.handle.net/10220/12810 |
| _version_ | 1826120132558061568 |
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| author | Xu, Ling. Yang, Mengning. Wang, Hongxing. Lin, Xiaoze. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Xu, Ling. Yang, Mengning. Wang, Hongxing. Lin, Xiaoze. |
| author_sort | Xu, Ling. |
| collection | NTU |
| description | In this paper, a local covariant region detection algorithm is proposed based on image contour corners. We define the corner response function as the DoB (Difference of B-spline) norm of the evolution difference of the image contour. A new feature region detection algorithm is designed combining corner points from the DoB algorithm and the scale invariance of the contour direction in the corner neighborhood. Finally, the feature covariant regions in multiple groups of interfered image are matched using the repetition rate criterion. The experimental results illustrate that the proposed algorithm has the properties such as simple calculation, easy realization and better robustness. |
| first_indexed | 2024-10-01T05:11:12Z |
| format | Conference Paper |
| id | ntu-10356/84766 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:11:12Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/847662020-03-07T13:24:45Z Local covariant region detection based on image contour corner Xu, Ling. Yang, Mengning. Wang, Hongxing. Lin, Xiaoze. School of Electrical and Electronic Engineering International Symposium on Information Science and Engineering (4th : 2012 : Shanghai, China) In this paper, a local covariant region detection algorithm is proposed based on image contour corners. We define the corner response function as the DoB (Difference of B-spline) norm of the evolution difference of the image contour. A new feature region detection algorithm is designed combining corner points from the DoB algorithm and the scale invariance of the contour direction in the corner neighborhood. Finally, the feature covariant regions in multiple groups of interfered image are matched using the repetition rate criterion. The experimental results illustrate that the proposed algorithm has the properties such as simple calculation, easy realization and better robustness. 2013-08-02T02:13:41Z 2019-12-06T15:50:54Z 2013-08-02T02:13:41Z 2019-12-06T15:50:54Z 2013 2013 Conference Paper https://hdl.handle.net/10356/84766 http://hdl.handle.net/10220/12810 10.1109/ISISE.2012.58 en |
| spellingShingle | Xu, Ling. Yang, Mengning. Wang, Hongxing. Lin, Xiaoze. Local covariant region detection based on image contour corner |
| title | Local covariant region detection based on image contour corner |
| title_full | Local covariant region detection based on image contour corner |
| title_fullStr | Local covariant region detection based on image contour corner |
| title_full_unstemmed | Local covariant region detection based on image contour corner |
| title_short | Local covariant region detection based on image contour corner |
| title_sort | local covariant region detection based on image contour corner |
| url | https://hdl.handle.net/10356/84766 http://hdl.handle.net/10220/12810 |
| work_keys_str_mv | AT xuling localcovariantregiondetectionbasedonimagecontourcorner AT yangmengning localcovariantregiondetectionbasedonimagecontourcorner AT wanghongxing localcovariantregiondetectionbasedonimagecontourcorner AT linxiaoze localcovariantregiondetectionbasedonimagecontourcorner |