Multiscale corner detection of gray level images based on log-Gabor wavelet transform

被引：0

作者：

Gao, Xinting ^{[1
]}

Sattar, Farook ^{[1
]}

Venkateswarlu, Ronda ^{[2
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Nanyang Ave, Singapore 639798, Singapore

[2] corp off, Inst Infocomm Res, Singapore 119613, Singapore

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS | 2007年

关键词：

corner detection; log-Gabor wavelet transform; second moment matrix;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper presents a novel corner detection method for gray level images based on log-Gabor wavelet transform(WT). The input image is decomposed at multiscales and along multi-orientations. The magnitudes of the decomposition are formulated into the second moment matrix. The smaller eigenvalue of the second moment matrix is used as the "cornerness" measurement. Compared with the most famous Harris detector, SUSAN detector and the recently published detector - Gabor wavelet transform based detector, the proposed method shows good localization and single response to the higher order corner structures. The simulation results also shows the higher detection rate of the proposed method.

引用

页码：1253 / +

页数：2

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