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.
|Title of host publication||Proceedings of the Fifth Asian Conference on Computer Vision (ACCV 2002)|
|Editors||Alireza Bab-Hadiashar, David Suter|
|Publisher||Asian Federation of Computer Vision Societies|
|Number of pages||6|
|ISBN (Print)||9780958025607, 0958025606|
|Publication status||Published - 2002|
|Event||ACCV2002: The 5th Asian Conference on Computer Vision - Melbourne, Melbourne, Australia|
Duration: 23 Jan 2002 → 25 Jan 2002
|Conference||ACCV2002: The 5th Asian Conference on Computer Vision|
|Period||23/01/02 → 25/01/02|
Zhang, J., & Tan, T. (2002). Affine invariant texture analysis based on structural properties. In A. Bab-Hadiashar, & D. Suter (Eds.), Proceedings of the Fifth Asian Conference on Computer Vision (ACCV 2002) (pp. 216-221). Asian Federation of Computer Vision Societies.