Scale and rotation invariant texture features from the dual-tree complex wavelet transform

@article{Lo2004ScaleAR,
  title={Scale and rotation invariant texture features from the dual-tree complex wavelet transform},
  author={Edward H. S. Lo and Mark R. Pickering and Michael R. Frater and John F. Arnold},
  journal={2004 International Conference on Image Processing, 2004. ICIP '04.},
  year={2004},
  volume={1},
  pages={227-230 Vol. 1}
}
Image segmentation can be viewed as the process of classifying regions in a picture into groups with common properties (e.g., texture). A difficulty arising is that a common texture can be classified differently when viewed at different scales and rotated viewpoints. The paper presents a feature vector based on the DT-CWT (dual-tree complex wavelet transform) (Kingsbury, N., Applied and Computational Harmonic Anal., vol.10, p.234-53, 2001) that is invariant to scale and rotation. The promising… CONTINUE READING
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