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

Author

Zhi-hua Wei ; Liang Hu

Author_Institution

Wuhan Univ. of Technol., Wuhan, China

Volume

1

fYear

2009

fDate

6-7 June 2009

Firstpage

206

Lastpage

209

Abstract

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 Zernikepsilas moments and wavelet transformation, the experiments proved that the wavelet packet decomposition was the best on both precision and efficiency.

Keywords

feature extraction; image recognition; wavelet transforms; Zernike moment; feature extracting technologies; glass-image recognition algorithm; wavelet packet decomposition; Discrete wavelet transforms; Feature extraction; Frequency conversion; Glass; Pattern recognition; Signal processing; Signal resolution; Time frequency analysis; Wavelet analysis; Wavelet packets; Feature Extraction; Image Processing; Wavelet packet Decomposition; glass; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3645-3

Type

conf

DOI

10.1109/CINC.2009.29

Filename

5231154