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Rotation-invariant Color Texture Classification Based on Quaternion Fourier-Mellin Transform

  

  1. School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China
  • Received:2014-02-26 Online:2014-05-28 Published:2014-05-30

Abstract: A method of color texture classification based on quaternion Fourier-Mellin transform is proposed, which is rotation-invariant. Firstly, log-polar coordinate transform is used on each component image of the color image, and then the three components which have been transformed are represented as a quaternion and carries on the quaternion Fourier transform; finally, statistic of the ring and wedge characteristic feature of the amplitude spectrum acts as texture classification vector, and uses the nearest neighbor classifier to classify. The experimental results show that the classification accuracy of the proposed method is higher and is of a good rotation invariance.

Key words: quaternion Fourier-Mellin transform, logarithmic polar coordinates, rotation invariant, color texture classification

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