Share Email Print
cover

Proceedings Paper

Novel corner detector based on lifting wavelet transform and SUSAN algorithm
Author(s): Jianhong Zhang; Ping Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper analyzes the SUSAN algorithm and points out its three shortcomings: fixed brightness difference threshold, examining every pixel step-by-step without selection and coarse USAN area calculating method. To overcome these shortcomings, a novel corner detector is proposed. Lifting wavelet transform is used to obtain the high frequency component of the input image. Corner candidates and the adaptive brightness difference threshold are obtained from the high frequency information. Then the SUSAN algorithm is improved to select the real corners from the candidates. In the improved SUSAN algorithm, USAN area is calculated according to both the similarity of pixels' brightness and the connectivity of the pixels in the circle mask. Experiment results show that the proposed corner detector is faster and more effective than both the traditional SUSAN algorithm and the adaptive algorithm proposed in references.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860Z (15 November 2007); doi: 10.1117/12.747340
Show Author Affiliations
Jianhong Zhang, Beijing Univ. of Aeronautics and Astronautics (China)
Ping Zhang, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

© SPIE. Terms of Use
Back to Top