Research of Texture Feature Extraction Method Based on Orientation-Frequency Decomposition
In order to solve the recognition problem when texture images undergo rotation,a texture feature extraction method based on direction frequency decomposition is proposed by fully utilizing the characteristic that textures have different frequency components in different directions,combined with Log polar transform,Radon transform,and empirical mode decomposition.Firstly,perform Log polar and Radon transformations on the image to achieve directional decomposition and obtain Log polar and Radon spectra;Then,empirical mode decomposition is performed on the spectral components of each direction transformation to achieve frequency decomposition of the image in various directions;Finally,Hilbert transform is applied to the obtained intrinsic mode functions to obtain their envelope and instantaneous frequency.Fourier transform is applied to the mean and variance of the envelope and instantaneous frequency to obtain texture features with rotational invariance.The experimental results show that the proposed method has high accuracy and strong noise resistance when used for texture image recognition.
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