Rotation-invariant texture recognition by rotation compensation and wavelet analysis

Huiguang Yang, Narendra Ahuja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new rotation-invariant wavelet-based texture recognition scheme is proposed. In the previous rotation-invariant approaches, the focus is on adapting the wavelet transform or filter to rotated texture. In our approach, instead, we estimate the rotation of the texture with respect to some reference orientation, and then rotate the texture image back to the reference orientation before applying the wavelet analysis to extract features. With such rotation compensation, even very simple features (such as 1-level DWT and the subband energy) can be effective in achieving high classification accuracy as we demonstrate through our experiments.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages3785-3789
Number of pages5
DOIs
StatePublished - Dec 1 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: Sep 15 2013Sep 18 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period9/15/139/18/13

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Keywords

  • intensity moment
  • rotation compensation
  • rotation-invariant
  • texture recognition
  • wavelets

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Yang, H., & Ahuja, N. (2013). Rotation-invariant texture recognition by rotation compensation and wavelet analysis. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 3785-3789). [6738780] (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings). https://doi.org/10.1109/ICIP.2013.6738780