Target recognition based on Log Gabor wavelet phase congruency feature invariant

Ting Fa Xu*, Guo Qiang Ni

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

The method of neural network target recognition was presented based on Log Gabor wavelet phase congruency (PC). The performance of Log Gabor wavelet was excelled to that of Gabor wavelet in theory. The definition of PC invariant was presented, and the low-level image invariant feature was discussed. The formula of PC feature invariant was modified by Log Gabor wavelet. The experiment of image target recognition was done by the PC. The simulated result indicated the method based on the PC feature invariant of Log Gabor wavelet can finely recognize the image target, and the recognition rate attained to 97%.

源语言英语
页(从-至)222-225
页数4
期刊Guangdianzi Jiguang/Journal of Optoelectronics Laser
17
2
出版状态已出版 - 2月 2006

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Xu, T. F., & Ni, G. Q. (2006). Target recognition based on Log Gabor wavelet phase congruency feature invariant. Guangdianzi Jiguang/Journal of Optoelectronics Laser, 17(2), 222-225.