DocumentCode :
3019395
Title :
Invariant Features of Local Texturesa rotation invariant local texture descriptor
Author :
Janney, Pranam ; Yu, Zhenghua
Author_Institution :
Univ. of New South Wales, Sydney
fYear :
2007
fDate :
17-22 June 2007
Firstpage :
1
Lastpage :
7
Abstract :
In this paper, we present a new rotation-invariant texture descriptor algorithm called invariant features of local textures (IFLT). The proposed algorithm extracts rotation invariant features from a small neighbourhood of pixels around a centre pixel or a texture patch. Intensity vector which is derived from a texture patch is normalized and Haar wavelet filtered to derive rotation-invariant features. Texture classification experiments on the Brodatz album and Outex databases have shown that the proposed algorithm has a high rate of correct classification.
Keywords :
Haar transforms; feature extraction; filtering theory; image classification; image resolution; image texture; visual databases; wavelet transforms; Brodatz album; Haar wavelet filter; Outex databases; image pixels; image texture patch; invariant features of local textures; rotation invariant features extraction; rotation-invariant texture descriptor algorithm; texture classification experiments; Anisotropic magnetoresistance; Australia Council; Computer science; Feature extraction; Filtering; Gabor filters; Humans; Image texture analysis; Shape; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1063-6919
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2007.383367
Filename :
4270365
Link To Document :
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