Rotation invariant texture classification algorithm based on Curvelet transform and SVM

@article{Shang2008RotationIT,
  title={Rotation invariant texture classification algorithm based on Curvelet transform and SVM},
  author={Yan Shang and Yan-Hua Diao and Chun-Ming Li},
  journal={2008 International Conference on Machine Learning and Cybernetics},
  year={2008},
  volume={5},
  pages={3032-3036}
}
A rotation invariant texture classification algorithm based on curvelet transform and support vector machines (SVM) is proposed. The multidirectional and multiscale curvelet transform can offer more texture information and its energies are more compact as well as the SVM can achieve better classification. Compute the energies of the subbands acquired by curvelet transform to texture image first, then extract the rotation invariant feature vectors of isotropic, anisotropic and circular shift… CONTINUE READING
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