Title :
Affine invariant texture signatures
Author :
Zhang, Jianguo ; Tan, Tieniu
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
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
Keywords :
image classification; image representation; image texture; invariance; spectral analysis; affine invariant texture signatures; affine transforms; anisotropic scale invariant signatures; orientation spectrum distribution; peaks distribution vector; spectral representation; texture classification; texture images; texture similarity; Anisotropic magnetoresistance; Automation; Content based retrieval; Equations; Fourier transforms; Image retrieval; Image texture analysis; Laboratories; Mathematical model; Pattern recognition;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958569