Translation, rotation and scale invariant texture characterization method for retrieval

@article{Liu2004TranslationRA,
  title={Translation, rotation and scale invariant texture characterization method for retrieval},
  author={Z. Liu and S. Wada},
  journal={Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004.},
  year={2004},
  pages={103-106}
}
  • Z. Liu, S. Wada
  • Published 2004
  • Mathematics
  • Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004.
Retrieval and classification of distorted texture images is a challenging and important problem in real world image analysis and understanding. This paper proposes a new texture characterization method applying for image retrieval and classification which is robust to geometric distortions. The geometric distortions include translation, rotation and scale changes of textures. A log-polar transform of autocorrelation image which expresses regularity and continuity is introduced to eliminate the… Expand

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