A New Corner Detection Method of Gray-Level Image Using Hessian Matrix

被引：2

作者：

Ryu, Hang-Ki ^{[1
]}

Lee, Jae-Kook ^{[1
]}

Hwang, Eoun-Taeg ^{[1
]}

Jing, Liu ^{[1
]}

Lee, Hong-Hee ^{[1
]}

Choi, Won-Ho ^{[1
]}

机构：

[1] Univ Ulsan, Sch Elect Engn, Ulsan 680749, South Korea

来源：

IFOST: 2007 INTERNATIONAL FORUM ON STRATEGIC TECHNOLOGY | 2007年

关键词：

D O I：

10.1109/IFOST.2007.4798654

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a new corner detection method based on lite Hessian matrix. The proposed method can detect features of a pattern or input image using eigenvalue and eigenvector of images. The hessian matrix has information of ellipse with intensity variance, and corner can be detected by using the eigen-value and eigen-vector analysis and decided weight value. In order to evaluate the proposed algorithm, experiments are performed in many type images. As the result of the test image, it shows the better performance than that of conventional Harris, SUSAN, and symmetric corner detectors.

引用

页码：537 / 540

页数：4

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