An Algorithm of Glass-Image Recognition Based on Wavelet Packet Decomposition

被引：0
|
作者：
Wei, Zhihua [1 ]
Hu, Liang [1 ]
机构：
[1] Wuhan Univ Technol, Wuhan 430070, Peoples R China
来源：
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL I | 2009年
关键词：
Image Processing; glass; Wavelet packet Decomposition; pattern recognition; Feature Extraction;
D O I：
10.1109/CINC.2009.29
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Wavelet packet decomposition not only has the decompose effect at low-frequency by using wavelet decomposition, but also has the decompose effect at high-frequency where can not do by using wavelet decomposition. In this paper, the wavelet packet decomposition algorithm was proposed and applied to glass-image recognition. Compared with other feature extracting technologies such as Zernike's moments and wavelet transformation, the experiments proved that the wavelet packet decomposition was the best on both precision and efficiency.
引用
收藏
页码：206 / 209
页数：4
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