Rotation Invariant Texture Classification with Ridgelet Transform and Fourier Transform

@article{Huang2006RotationIT,
  title={Rotation Invariant Texture Classification with Ridgelet Transform and Fourier Transform},
  author={Ke Huang and Selin Aviyente},
  journal={2006 International Conference on Image Processing},
  year={2006},
  pages={2141-2144}
}
The features extracted from traditional wavelet transform have been successfully applied to texture classification. However, most wavelet features are not invariant to image rotation. This paper proposes a new rotation invariant feature based on the combination of ridgelet, a directional non-separable wavelet transform, and Fourier transforms. The ridgelet transform is applied to the rotated image, transforming the rotation angle to shifts in the ridgelet domain. Changes caused by the shift is… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

Similar Papers

Loading similar papers…