Rotation invariant texture recognition using a steerable pyramid
- 17 December 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A rotation-invariant texture recognition system is pre- sented. A steerable orientedpyramid is used to extract rep- resentative features for the input textures. The steerability of the filter set allows a ship to an invariant representation via a DFT-encoding step. Supervised classijkation follows. State-of-the-art recognition results are presented on a 30 texture database with a comparison across the performance of the K-nn, Back-Propagation and Rule-Based classifiers. In addition, high accuracy estimation of the input rotation angle is demonstrated.Keywords
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