DocumentCode :
2957441
Title :
A new corner detection method of gray-level image using Hessian matrix
Author :
Ryu, Hang-Ki ; Lee, Jae-Kook ; Hwang, Eoun-Taeg ; Jing, Liu ; Lee, Hong-Hee ; Choi, Won-Ho
Author_Institution :
Sch. of Electr. Eng., Univ. of Ulsan, Ulsan
fYear :
2007
fDate :
3-6 Oct. 2007
Firstpage :
537
Lastpage :
540
Abstract :
This paper proposes a new corner detection method based on the 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.
Keywords :
Hessian matrices; edge detection; eigenvalues and eigenfunctions; Hessian matrix; corner detection; eigenvalue analysis; eigenvector analysis; gray-level image; Analysis of variance; Computer vision; Detectors; Eigenvalues and eigenfunctions; Equations; Filtering; Image analysis; Image edge detection; Image processing; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Strategic Technology, 2007. IFOST 2007. International Forum on
Conference_Location :
Ulaanbaatar
Print_ISBN :
978-1-4244-3589-0
Electronic_ISBN :
978-1-4244-1831-2
Type :
conf
DOI :
10.1109/IFOST.2007.4798654
Filename :
4798654
Link To Document :
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