Presentation 2012-03-29
A Novel Image Feature Extraction Approach Using Enhanced Edge Information
Yinan WANG, Nuo ZHANG, Toshinori WATANABE, Hisashi KOGA,
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Abstract(in English) The Local Binary Pattern (LBP) operator is designed for local feature description. In this study we adapt LBP for image matching. The proposed approach performs a modified LBP to extract enhanced edge information, followed by Scale Invariant Feature Transform (SIFT) which matches extracted features. We validated the proposed approach on data with various photography conditions (scale, rotation, blurring, and illumination). The results showed high performance of the proposed approach.
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Keyword(in English) Image matching / local binary pattern (LBP) / Scale Invariant Feature Transform (SIFT)
Paper # PRMU2011-240,HIP2011-68
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Committee HIP
Conference Date 2012/3/22(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Novel Image Feature Extraction Approach Using Enhanced Edge Information
Sub Title (in English)
Keyword(1) Image matching
Keyword(2) local binary pattern (LBP)
Keyword(3) Scale Invariant Feature Transform (SIFT)
1st Author's Name Yinan WANG
1st Author's Affiliation Graduate School of Information Systems, the University of Electro-Communications()
2nd Author's Name Nuo ZHANG
2nd Author's Affiliation Graduate School of Information Systems, the University of Electro-Communications
3rd Author's Name Toshinori WATANABE
3rd Author's Affiliation Graduate School of Information Systems, the University of Electro-Communications
4th Author's Name Hisashi KOGA
4th Author's Affiliation Graduate School of Information Systems, the University of Electro-Communications
Date 2012-03-29
Paper # PRMU2011-240,HIP2011-68
Volume (vol) vol.111
Number (no) 500
Page pp.pp.-
#Pages 6
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