A new corner detecting method based on contourlet transfrom

Jingbo Xiang

doi:10.1117/12.832951

30 October 2009 A new corner detecting method based on contourlet transfrom

Jingbo Xiang

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74952R (2009) https://doi.org/10.1117/12.832951
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Jingbo Xiang "A new corner detecting method based on contourlet transfrom", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952R (30 October 2009); https://doi.org/10.1117/12.832951

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