@inproceedings{291851e644cb4a2e972da591b081b7d8,
title = "Rotation-invariant texture recognition by rotation compensation and wavelet analysis",
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.",
keywords = "intensity moment, rotation compensation, rotation-invariant, texture recognition, wavelets",
author = "Huiguang Yang and Narendra Ahuja",
year = "2013",
doi = "10.1109/ICIP.2013.6738780",
language = "English (US)",
isbn = "9781479923410",
series = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
publisher = "IEEE Computer Society",
pages = "3785--3789",
booktitle = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
note = "2013 20th IEEE International Conference on Image Processing, ICIP 2013 ; Conference date: 15-09-2013 Through 18-09-2013",
}