Affine invariant texture analysis based on structural properties

Abstract : This paper presents a new texture analysis method based on structural properties. The texture features extracted using this algorithm are invariant to affine transform (including rotation, translation, scaling, and skewing). Affine invariant structural properties are derived based on texel areas. An area-ratio map utilizing these properties is introduced to characterize texture images. Histogram based on this map is constructed for texture classification. Efficiency of this algorithm for affine invariant texture classification is demonstrated using Brodatz textures.
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Communication dans un congrès
Proceedings of the Fifth Asian Conference on Computer Vision (ACCV 2002), Jan 2002, Melbourne, Australia. pp.216--221, 2002
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  • HAL Id : inria-00548246, version 1

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Jianguo Zhang, Tieniu Tan. Affine invariant texture analysis based on structural properties. Proceedings of the Fifth Asian Conference on Computer Vision (ACCV 2002), Jan 2002, Melbourne, Australia. pp.216--221, 2002. 〈inria-00548246〉

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