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

机译:基于小波包分解的玻璃图像识别算法

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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.
机译:小波分组分解不仅通过使用小波分解而在低频处的分解效果,而且在高频下,通过使用小波分解不能进行的高频分解效果。本文提出并应用于玻璃图像识别的小波分组分解算法。与其他特征提取技术相比,如ZernikePsilas矩和小波变换,实验证明,小波包分解是精度和效率的最佳状态。

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