Affine invariant texture signatures

Abstract : We develop a new approach for texture classification independent of affine transforms. Based on a spectral representation of texture images under affine transform, anisotropic scale invariant signatures of the orientation spectrum distribution are extracted. A peaks distribution vector (PDV) obtained on the distribution of these signatures captures texture properties invariant to affine distortion. The PDV is used to measure the similarity between textures. Experimental results show the efficiency of the PDV for affine invariant texture classification
Type de document :
Communication dans un congrès
IEEE International Conference on Image Processing (ICIP '01), Oct 2001, Thessaloniki, Greece. IEEE Computer society, 2, pp.618--621, 2001, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=958569〉. 〈10.1109/ICIP.2001.958569〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00548270
Contributeur : Thoth Team <>
Soumis le : lundi 20 décembre 2010 - 08:42:35
Dernière modification le : mardi 21 décembre 2010 - 11:33:21

Lien texte intégral

Identifiants

Citation

Jianguo Zhang, Tieniu Tan. Affine invariant texture signatures. IEEE International Conference on Image Processing (ICIP '01), Oct 2001, Thessaloniki, Greece. IEEE Computer society, 2, pp.618--621, 2001, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=958569〉. 〈10.1109/ICIP.2001.958569〉. 〈inria-00548270〉

Partager

Métriques

Consultations de la notice

15