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Proceedings Paper

A new corner detecting method based on contourlet transfrom
Author(s): Jingbo Xiang
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Paper Abstract

Comer point is one of the most important feature points in computer vision and pattern recognition. In the paper, a novel corner detection algorithm is proposed. In the improved algorithm, firstly transform the image using the Contourlet transform. Then the corner candidates are selected using the SUSAN algorithm. Lastly, the real corners are selected according to both directional information and correlation of the corner candidates. Experiment results show that the proposed corner detector is more effective than the traditional SUSAN algorithm.

Paper Details

Date Published: 30 October 2009
PDF: 4 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952R (30 October 2009); doi: 10.1117/12.832951
Show Author Affiliations
Jingbo Xiang, Opt-Technology Development Ctr. (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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