Gabor filters for rotation invariant texture classification

@article{Porter1997GaborFF,
  title={Gabor filters for rotation invariant texture classification},
  author={Robert Porter and Nishan Canagarajah},
  journal={Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97},
  year={1997},
  volume={2},
  pages={1193-1196 vol.2}
}
A Gabor filter based feature extraction scheme for texture classification is proposed. By using a novel set of circularly symmetric filters, rotation invariance is achieved. The scheme offers a high classification performance on textures at any orientation using both fewer features and a smaller area of analysis than most existing schemes. The performance of the scheme on noisy images is also investigated, demonstrating a high robustness to noise. 

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