New texture signatures and their use in rotation invariant texture classification

Abstract : In this paper, we present a theoretically and computationally simple but efficient approach for rotation invariant texture classification. This method is based on new texture signatures extracted from spectrum. Rotation invariant texture features are obtained based on the extension of the derived signatures. The features are tested with 1000 randomly rotated samples of 20 Brodatz texture classes. Comparative study results show that our method is highly efficient in rotation invariant texture classification.
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Communication dans un congrès
Proceedings of Texture 2002 (The 2nd international workshop on texture analysis and synthesis with ECCV 2002), Jun 2002, Copenhagen, Denmark. pp.157--162, 2002
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  • HAL Id : inria-00548245, version 1

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Jianguo Zhang, Tieniu Tan. New texture signatures and their use in rotation invariant texture classification. Proceedings of Texture 2002 (The 2nd international workshop on texture analysis and synthesis with ECCV 2002), Jun 2002, Copenhagen, Denmark. pp.157--162, 2002. 〈inria-00548245〉

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