An improved new algorithm for SIFT feature extraction - 文章详情页

作者：

Su, Liying (Su, Liying.) | Li, Xiaopeng (Li, Xiaopeng.) | Yao, Lishuang (Yao, Lishuang.)

收录：

EI Scopus PKU CSCD

摘要：

A　more　rapid　SIFT　(scale　invariant　feature　transform)　corner　extraction　method　was　proposed　to　overcome　the　shortcomings　of　the　existing　complex　SIFT　corner　extraction　algorithm　and　relative　slow　running　speed.　A　new　algorithm　named　combination　of　candidate　screening　and　SIFT　algorithm　was　proposed　based　on　the　SIFT　algorithm　analysis.　Firstly,　corner　candidate　screening　was　carried　out　for　the　image　of　desired　extracting　corners　by　applying　8　neighborhood　similarity　method,　and　3×3　gray　image　was　built　centering　on　the　candidate　corner.　Then,　SIFT　extraction　algorithm　was　applied　to　extract　candidate　corners　for　the　built　3×3　gray　image.　The　validity　of　the　new　algorithm　was　verified　through　the　experiment　and　theoretical　derivation.

关键词：

Extraction Image processing Pixels

作者机构：

[ 1 ] [Su, Liying]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Li, Xiaopeng]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Yao, Lishuang]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

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